Overview

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Dataset statistics

Number of variables208
Number of observations281
Missing cells26658
Missing cells (%)45.6%
Total size in memory482.7 KiB
Average record size in memory1.7 KiB

Variable types

Text5
Numeric175
DateTime3
Unsupported5
Boolean20

Dataset

Description[unitless] Answers received from questionnaires. To compare each sensor observation, the frequency was reduced to one minute. The first non-missing name is reported for each of the categorical variables.
Creatorname
Authorname
URL
Copyright(c) liveme organization 2024

Variable descriptions

tokentoken
experimentidExperiment Id
lastpagelastpage
submitdatesubmitdate
startlanguagestartlanguage
startdatestartdate
datestampdatestamp
refurlrefurl
A00_1nan
A00_2nan
A01Which gender were you born? Answer: Male, Female
A02When were you born? Answer: Year |___|
A03What is your nationality? Answer: List, see Appendix
A04NUMIn what faculty/department are you studying?
A04UCIn what faculty/department are you studying?
A04UNITNIn what faculty/department are you studying?
A05Type of degree Answer: 1. BSc, 2. MSc, 3. 5 years (UNITN)
A05UNITNType of degree Answer: 1. BSc, 2. MSc, 3. 5 years (UNITN)
A07Course year Answer: |__|
A11NUMWhat kind of accommodation are you living in? Answer: 1.University students’ Residence (dormitory), 2.University flat, 3.University campus, 4.A private sector Hall of Residence, 5.Rental house/flat, 6.In a house/apartment owned (by you, your parents, or relatives), 7.Guest of a private person, 8.Guest of friend or friends
A11What kind of accommodation are you living in? Answer: 1.University students’ Residence (dormitory), 2.University flat, 3.University campus, 4.A private sector Hall of Residence, 5.Rental house/flat, 6.In a house/apartment owned (by you, your parents, or relatives), 7.Guest of a private person, 8.Guest of friend or friends
R03nan
B01_1Describe yourself as you generally are now. Use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate Answer: 1.Am the life of the party,
B01_2Describe yourself as you generally are now. Use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate Answer: 2.Sympathize with others’ feelings
B01_3Describe yourself as you generally are now. Use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate Answer: 3.Get chores done right away
B01_4Describe yourself as you generally are now. Use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate Answer: 4.Have frequent mood swings
B01_5Describe yourself as you generally are now. Use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate Answer: 5.Have a vivid imagination
B01_6Describe yourself as you generally are now. Use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate Answer: 6.Don’t talk a lot
B01_7Describe yourself as you generally are now. Use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate Answer: 7.Am not interested in other people’s problems
B01_8Describe yourself as you generally are now. Use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate Answer: 8.Often forget to put things back in their proper place
B01_9Describe yourself as you generally are now. Use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate Answer: 9.Am relaxed most of the time
B01_10Describe yourself as you generally are now. Use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate Answer: 10.Am not interested in abstract ideas
B01_11Describe yourself as you generally are now. Use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate Answer: 11.Talk to a lot of different people at parties
B01_12Describe yourself as you generally are now. Use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate Answer: 12.Feel others’ emotions,
B01_13Describe yourself as you generally are now. Use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate Answer: 13.Like order
B01_14Describe yourself as you generally are now. Use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate Answer: 14.Get upset easily
B01_15Describe yourself as you generally are now. Use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate Answer: 15.Have difficulty understanding abstract ideas
B01_16Describe yourself as you generally are now. Use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate Answer: 16.Keep in the background
B01_17Describe yourself as you generally are now. Use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate Answer: 17.Am not really interested in others
B01_18Describe yourself as you generally are now. Use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate Answer: 18.Make a mess of things
B01_19Describe yourself as you generally are now. Use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate Answer: 19.Seldom feel blue
B01_20Describe yourself as you generally are now. Use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate Answer: 20.Do not have a good imagination
G02_1How often, did you following, view and/or listen to the recordings of: 1. Never, 2., 3., 4., 5., 6. Very often Answer: Theatre plays
G02_2How often, did you following, view and/or listen to the recordings of: 1. Never, 2., 3., 4., 5., 6. Very often Answer: Cabarets, or a stand-up comedy.
G02_3How often, did you following, view and/or listen to the recordings of: 1. Never, 2., 3., 4., 5., 6. Very often Answer: Ballets or a modern dance
G02_4How often, did you following, view and/or listen to the recordings of: 1. Never, 2., 3., 4., 5., 6. Very often Answer: Classical music
G02_5How often, did you following, view and/or listen to the recordings of: 1. Never, 2., 3., 4., 5., 6. Very often Answer: Opera
G02_6How often, did you following, view and/or listen to the recordings of: 1. Never, 2., 3., 4., 5., 6. Very often Answer: Musical
G02_7How often, did you following, view and/or listen to the recordings of: 1. Never, 2., 3., 4., 5., 6. Very often Answer: Pop or rock
G02_8How often, did you following, view and/or listen to the recordings of: 1. Never, 2., 3., 4., 5., 6. Very often Answer: Jazz or blue
G02_9How often, did you following, view and/or listen to the recordings of: 1. Never, 2., 3., 4., 5., 6. Very often Answer: Folk music concert
G02_10How often, did you following, view and/or listen to the recordings of: 1. Never, 2., 3., 4., 5., 6. Very often Answer: World music
G02_11How often, did you following, view and/or listen to the recordings of: 1. Never, 2., 3., 4., 5., 6. Very often Answer: Urban (rap, hip-hop, trap)
G02_12How often, did you following, view and/or listen to the recordings of: 1. Never, 2., 3., 4., 5., 6. Very often Answer: Dance or house
G02_13How often, did you following, view and/or listen to the recordings of: 1. Never, 2., 3., 4., 5., 6. Very often Answer: Popular national or local music
G02_14How often, did you following, view and/or listen to the recordings of: 1. Never, 2., 3., 4., 5., 6. Very often Answer: A singer/songwriter
G02_15How often, did you following, view and/or listen to the recordings of: 1. Never, 2., 3., 4., 5., 6. Very often Answer: Other music
G02_16How often, did you following, view and/or listen to the recordings of: 1. Never, 2., 3., 4., 5., 6. Very often Answer: A sport event
G01_1Have you done any of the following activities in the last year or so? (1) YES (2) NO Answer: Acted in a theatre play
G01_2Have you done any of the following activities in the last year or so? (1) YES (2) NO Answer: Directed a theatre play
G01_3Have you done any of the following activities in the last year or so? (1) YES (2) NO Answer: Performed as a stand-up comedian
G01_4Have you done any of the following activities in the last year or so? (1) YES (2) NO Answer: Sung in a choir, a vocal ensemble, opera/operetta/musical troupe, pop-rock jazz, folk band, rapped
G01_5Have you done any of the following activities in the last year or so? (1) YES (2) NO Answer: Played a musical instrument
G01_6Have you done any of the following activities in the last year or so? (1) YES (2) NO Answer: Played a musical instrument in an orchestra or pop/rock/jazz/folk band
G01_7Have you done any of the following activities in the last year or so? (1) YES (2) NO Answer: Composed music or performed as DJ
G01_8Have you done any of the following activities in the last year or so? (1) YES (2) NO Answer: Danced (ballet or modern dance, ballroom dance, Latin American dance, jazz dance, hip hop, break dance, street dance, folk dance),
G01_9Have you done any of the following activities in the last year or so? (1) YES (2) NO Answer: Did choreography for a dance performance
T01_1Do you have a car driver’s license? Answer: 1. Yes, 2. No
T01_2Do you have a motorbike driver’s license? Answer: 1. Yes, 2. No
T01_3Do you have a bike of your own? Answer: 1. Yes, 2. No
T01_4Do you have a car of your own? Answer: 1. Yes, 2. No
T01_5Do you have a motorbike of your own? Answer: 1. Yes, 2. No
T01_6Do you have access to a car whenever you want? Answer: 1. Yes, 2. No
T01_7Do you have access to a motorbike whenever you want? Answer: 1. Yes, 2. No
T02_1What is the main method that you use for getting about in your daily life? (Multiple choice) Answer: Walking
T02_2What is the main method that you use for getting about in your daily life? (Multiple choice) Answer: Cycling
T02_3What is the main method that you use for getting about in your daily life? (Multiple choice) Answer: Car (Filter: go to question
T02_4What is the main method that you use for getting about in your daily life? (Multiple choice) Answer: Car-sharing (with friends/relative etc.)
T02_5What is the main method that you use for getting about in your daily life? (Multiple choice) Answer: Motorbike
T02_6What is the main method that you use for getting about in your daily life? (Multiple choice) Answer: City bus/suburban bus/Tube (Public Transport)
T02_7What is the main method that you use for getting about in your daily life? (Multiple choice) Answer: Train
T02_8What is the main method that you use for getting about in your daily life? (Multiple choice) Answer: Electric scooters
C01Would you say you know how to cook? Answer: 1.Yes, I know how to cook., 2.Yes, but only basic things., 3.No, I do not know how to cook.
C04C04. How often do you cook a main meal? Answer: 1.Daily, 2Several times a week 3.Once a week 4.Less than once a week 5.Neve
C07_1Let us talk about your diet. Which of the following applies to you? (Multiple choice) Answer: I don’t follow a specific diet
C07_2Let us talk about your diet. Which of the following applies to you? (Multiple choice) Answer: I follow a vegetarian or vegan diet
C07_3Let us talk about your diet. Which of the following applies to you? (Multiple choice) Answer: I avoid certain foods for religious or cultural reasons
C07_4Let us talk about your diet. Which of the following applies to you? (Multiple choice) Answer: I avoid or limit my intake of certain foods due to health problems (allergies, gluten intolerance, ...)
C07_5Let us talk about your diet. Which of the following applies to you? (Multiple choice) Answer: I have no health issues but follow a health-food diet rigidly
C07_6Let us talk about your diet. Which of the following applies to you? (Multiple choice) Answer: I limit consumption of certain foods to lose/maintain weight
C07_7Let us talk about your diet. Which of the following applies to you? (Multiple choice) Answer: I like to try new foods and tastes.
C08Which of the following statements best describes you? Answer: 1.For me, eating is a pleasure, 2.Eating for me is just a way not to feel hungry.
C10_1Last month, how often did you buy the types of food products and supplements: 1. Never, 2. Rarely, 3. Often, 4. Always Answer: Organic
C10_2Last month, how often did you buy the types of food products and supplements: 1. Never, 2. Rarely, 3. Often, 4. Always Answer: Zero-mile
C10_3Last month, how often did you buy the types of food products and supplements: 1. Never, 2. Rarely, 3. Often, 4. Always Answer: Weight-loss pills, teas and products - slim fast, weight watchers, meal replacements
C10_4Last month, how often did you buy the types of food products and supplements: 1. Never, 2. Rarely, 3. Often, 4. Always Answer: Dietary supplements - vitamins, iron, potassium...
C10_5Last month, how often did you buy the types of food products and supplements: 1. Never, 2. Rarely, 3. Often, 4. Always Answer: Frozen items
C10_6Last month, how often did you buy the types of food products and supplements: 1. Never, 2. Rarely, 3. Often, 4. Always Answer: Allergen-free products - gluten free, lactose free
C10_7Last month, how often did you buy the types of food products and supplements: 1. Never, 2. Rarely, 3. Often, 4. Always Answer: Ready meals - to be just heated or defrosted in microwave/oven
C12_1How often did you shop at the following super/markets last month? 1. Never, 2. Rarely, 3. Often, 4. Always, 5. No nearby shops Answer: Specialised food shops (fishery, butchery, bakery, fruit and vegetable shops)
C12_2How often did you shop at the following super/markets last month? 1. Never, 2. Rarely, 3. Often, 4. Always, 5. No nearby shops Answer: Organic Shops
C12_3How often did you shop at the following super/markets last month? 1. Never, 2. Rarely, 3. Often, 4. Always, 5. No nearby shops Answer: Supermarkets
C12_4How often did you shop at the following super/markets last month? 1. Never, 2. Rarely, 3. Often, 4. Always, 5. No nearby shops Answer: Discount supermarket
C12_5How often did you shop at the following super/markets last month? 1. Never, 2. Rarely, 3. Often, 4. Always, 5. No nearby shops Answer: Street markets
D01Beyond walking about, do you engage in other physical activities? Answer: 1. Yes 2. No
D02Have you been physically active on a regular basis in the last year or so? Answer: 1.Yes 2.No [If D01=No and D02=No go to F01]
D03_1During the last year or so, how often have you done the following types of sport activities? 1. Not at all; 2. Less than once a week; 3. At least once a week; 4. Almost daily. Answer: Cardio/fitness activities like swimming, running, jogging, stair climbing, cycling or rope skipping
D03_2During the last year or so, how often have you done the following types of sport activities? 1. Not at all; 2. Less than once a week; 3. At least once a week; 4. Almost daily. Answer: Yoga, stretching and fitness dancing activities like aerobics, dance exercise, Pilates
D03_3During the last year or so, how often have you done the following types of sport activities? 1. Not at all; 2. Less than once a week; 3. At least once a week; 4. Almost daily. Answer: Water sports like skiing, snowboarding, wakeboarding, diving, canoeing or rowing
D03_4During the last year or so, how often have you done the following types of sport activities? 1. Not at all; 2. Less than once a week; 3. At least once a week; 4. Almost daily. Answer: Weightlifting and resistance training including free weights, bench press, leg press, push ups, pull ups or sit ups
D03_5During the last year or so, how often have you done the following types of sport activities? 1. Not at all; 2. Less than once a week; 3. At least once a week; 4. Almost daily. Answer: Team sports like soccer, basketball, hockey, baseball, and volleyball
D03_6During the last year or so, how often have you done the following types of sport activities? 1. Not at all; 2. Less than once a week; 3. At least once a week; 4. Almost daily. Answer: Boxing and martial arts like judo, karate and taekwondo
D03_7During the last year or so, how often have you done the following types of sport activities? 1. Not at all; 2. Less than once a week; 3. At least once a week; 4. Almost daily. Answer: Racket sports such as tennis, ping pong, and squash
D03_8During the last year or so, how often have you done the following types of sport activities? 1. Not at all; 2. Less than once a week; 3. At least once a week; 4. Almost daily. Answer: Outdoor recreational sports like climbing, hill trekking, walking, mountain biking, orienteering, skateboarding
D04How often do you do physical exercise? Answer: 1.Every few weeks or less, 2.Once or twice a week, 3.Three to five days a week, 4.Six to seven days a week
D06_1When exercising, which of the following devices do you use? (Multiple choice) Answer: Wearable fitness trackers
D06_2When exercising, which of the following devices do you use? (Multiple choice) Answer: Smartwatches
D06_3When exercising, which of the following devices do you use? (Multiple choice) Answer: Smartphone fitness apps
D06_4When exercising, which of the following devices do you use? (Multiple choice) Answer: Headphones
D06_5When exercising, which of the following devices do you use? (Multiple choice)
D06_otherWhen exercising, which of the following devices do you use? (Multiple choice) Answer: Other, please specify: ______
M01_1Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree Answer: Writing is a natural way for me to express myself.
M01_2Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree Answer: At school studies in native language or social studies were easier for me than mathematics, physics and chemistry.
M01_3Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree Answer: I have recently written something that I am especially proud of, or for which I have received recognition.
M01_4Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree Answer: Metaphors and vivid verbal expressions help me learn efficiently.
M01_5Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree Answer: At school I was good at mathematics, physics or chemistry.
M01_6Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree Answer: I can work with and solve complex problems.
M01_7Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree Answer: Mental arithmetic is easy for me.
M01_8Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree Answer: I am good at games and problem solving, which require logical thinking.
M01_9Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree Answer: At school, geometry and various kinds of assignments involving spatial perception were easier for me than solving equations.
M01_10Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree Answer: It is easy for me to conceptualize complex and multidimensional patterns.
M01_11Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree Answer: I can easily imagine how a landscape looks from a bird’s-eye view.
M01_12Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree Answer: When I read, I form illustrative pictures or designs in my mind.
M01_13Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree Answer: I am handy.
M01_14Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree Answer: I can easily do something concrete with my hands (e.g. knitting and woodwork).
M01_15Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree Answer: I am good at showing how to do something in practice.
M01_16Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree Answer: I was good at handicrafts at school
M01_17Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree Answer: After hearing a tune once or twice I am able to sing or whistle it quite accurately
M01_18Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree Answer: When listening to music, I am able to discern instruments or recognize melodies.
M01_19Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree Answer: I can easily keep the rhythm when drumming a melody
M01_20Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree Answer: I notice immediately if a melody is out of tune
M01_21Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree Answer: Even in strange company, I easily find someone to talk to
M01_22Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree Answer: I get alone easily with different types of people
M01_23Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree Answer: I make contact easily with other people.
M01_24Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree Answer: In negotiations and group work, I am able to support the group to find a consensus.
M01_25Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree Answer: I am able to analyse my own motives and ways of action.
M01_26Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree Answer: I often think about my own feelings and sentiments and seek reasons for them.
M01_27Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree Answer: I spend time regularly reflecting on the important issues in life.
M01_28Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree Answer: I like to read psychological or philosophical literature to increase my self-knowledge.
M01_29Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree Answer: I enjoy the beauty and experiences related to nature
M01_30Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree Answer: Protecting the nature is important to me
M01_31Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree Answer: I pay attention to my consumption habits in order to protect environment.
M01_32Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree Answer: In midst of busy everyday life, I find it important to contemplate.
M01_33Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree Answer: Even ordinary every-day life is full of miraculous things.
M01_34Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree Answer: I often reflect on the meaning of life.
M01_35Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree Answer: It is important to me to share a quiet moment with others.
F01_1Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: Thinking up new ideas and being creative is important to them. They like to do things in their own original way
F01_2Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: It is important to them to be rich. They want to have a lot of money and expensive things
F01_3Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: They think it is important that every person in the world be treated equally. They want justice for everybody, even for people they don't know
F01_4Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: It's very important to them to show their abilities. They want people to admire what he does
F01_5Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: It is important to them to live in secure surroundings. They avoid anything that might endanger their safety
F01_6Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: They think it is important to do lots of different things in life. They always look for new things to try
F01_7Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: They believe that people should do what they're told. They think people should follow rules at all times, even when no-one is watching
F01_8Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: It is important to them to listen to people who are different from them. Even when he disagrees with them, they still want to understand them
F01_9Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: They think it's important not to ask for more than what you have. They believe that people should be satisfied with what they have
F01_10Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: They seek every chance he can to have fun. It is important to them to do things that give them pleasure
F01_11Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: It is important to them to make their own decisions about what he does. They like to be free to plan and to choose their activities for themself
F01_12Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: It's very important to them to help the people around them. They want to care for other people
F01_13Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: Being very successful is important to them. They like to impress other people
F01_14Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: It is very important to them that their country is safe. They think the state must be on watch against threats from within and without
F01_15Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: They like to take risks. They are always looking for adventures
F01_16Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: It is important to them always to behave properly. They want to avoid doing to anything people would say is wrong
F01_17Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: It is important to them to be in charge and tell others what to do. They want people to do what he says
F01_18Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: It is important to them to be loyal to their friends. They want to devote themself to people close to them
F01_19Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: They strongly believe that people should care for nature. Looking after the environment is important to them
F01_20Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: Religious belief is important to them. They try hard to do what their religion requires
F01_21Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: It is important to them that things be organized and clean. They do not want things to be a mess
F01_22Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: They think it is important to be interested in things. They like to be curious and to try to understand all sorts of things
F01_23Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: They believe all the worlds' people should live in harmony. Promoting peace among all groups in the world is important to them
F01_24Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: They think it is important to be ambitious. They want to show how capable he is
F01_25Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: They believe it is best to do things in traditional ways. It is important to them to follow the customs he has learned
F01_26Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: Enjoying life's pleasures is important to them. They like to 'spoil' themself
F01_27Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: It is important to them to respond to the needs of others. They try to support those he knows
F01_28Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: It is important to them to be obedient. They believe he should always show respect to their parents and to older people
F01_29Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: They want everyone to be treated justly, even people he doesn't know. It is important to them to protect the weak in society
F01_30Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: They like surprises. It is important to them to have an exciting life
F01_31Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: They try hard to avoid getting sick. Staying healthy is very important to them
F01_32Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: Getting ahead in life is important to them. They strive to do better than others
F01_33Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: Forgiving people who might have wronged them is important to them. They try to see what is good in them and not to hold a grudge
F01_34Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: It is important to them to be independent. They like to rely on themself
F01_35Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: Having a stable government is important to them. They are concerned that the social order be protected
F01_36Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: It is important to them to be polite to other people all the time. They try never to disturb or irritate other expectations
F01_37Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: They really want to enjoy life. Having a good time is very important to them
F01_38Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: It is important to them to be humble and modest. They try not to draw to themself
F01_39Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: They always want to be the one who makes the decisions. They like to be the leader
F01_40Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: It is important to them to adapt to nature and to fit into it. They believe that people should not change nature
interviewtimeinterviewtime
GT_A00nan
GT_A01nan
GT_Rnan
GT_Bnan
GT_Gnan
GT_Fnan
GT_Tnan
GT_Cnan
GT_Dnan
GT_Mnan
GT_Inan

Alerts

experimentid has constant value "wenetParaguay2" Constant
startlanguage has constant value "es" Constant
T02_7 has constant value "False" Constant
T02_8 has constant value "False" Constant
T02_2 is highly imbalanced (56.8%) Imbalance
T02_5 is highly imbalanced (56.8%) Imbalance
C07_2 is highly imbalanced (76.4%) Imbalance
C07_3 is highly imbalanced (86.2%) Imbalance
D06_1 is highly imbalanced (78.2%) Imbalance
lastpage has 38 (13.5%) missing values Missing
submitdate has 139 (49.5%) missing values Missing
refurl has 217 (77.2%) missing values Missing
A00_1 has 45 (16.0%) missing values Missing
A00_2 has 281 (100.0%) missing values Missing
A01 has 74 (26.3%) missing values Missing
A02 has 73 (26.0%) missing values Missing
A03 has 75 (26.7%) missing values Missing
A04NUM has 281 (100.0%) missing values Missing
A04UC has 82 (29.2%) missing values Missing
A04UNITN has 281 (100.0%) missing values Missing
A05 has 76 (27.0%) missing values Missing
A05UNITN has 281 (100.0%) missing values Missing
A07 has 79 (28.1%) missing values Missing
A11NUM has 281 (100.0%) missing values Missing
A11 has 76 (27.0%) missing values Missing
R03 has 82 (29.2%) missing values Missing
B01_1 has 99 (35.2%) missing values Missing
B01_2 has 99 (35.2%) missing values Missing
B01_3 has 98 (34.9%) missing values Missing
B01_4 has 100 (35.6%) missing values Missing
B01_5 has 100 (35.6%) missing values Missing
B01_6 has 98 (34.9%) missing values Missing
B01_7 has 100 (35.6%) missing values Missing
B01_8 has 100 (35.6%) missing values Missing
B01_9 has 100 (35.6%) missing values Missing
B01_10 has 101 (35.9%) missing values Missing
B01_11 has 101 (35.9%) missing values Missing
B01_12 has 101 (35.9%) missing values Missing
B01_13 has 101 (35.9%) missing values Missing
B01_14 has 102 (36.3%) missing values Missing
B01_15 has 101 (35.9%) missing values Missing
B01_16 has 101 (35.9%) missing values Missing
B01_17 has 101 (35.9%) missing values Missing
B01_18 has 101 (35.9%) missing values Missing
B01_19 has 100 (35.6%) missing values Missing
B01_20 has 101 (35.9%) missing values Missing
G02_1 has 109 (38.8%) missing values Missing
G02_2 has 109 (38.8%) missing values Missing
G02_3 has 108 (38.4%) missing values Missing
G02_4 has 109 (38.8%) missing values Missing
G02_5 has 109 (38.8%) missing values Missing
G02_6 has 109 (38.8%) missing values Missing
G02_7 has 108 (38.4%) missing values Missing
G02_8 has 112 (39.9%) missing values Missing
G02_9 has 110 (39.1%) missing values Missing
G02_10 has 109 (38.8%) missing values Missing
G02_11 has 110 (39.1%) missing values Missing
G02_12 has 114 (40.6%) missing values Missing
G02_13 has 109 (38.8%) missing values Missing
G02_14 has 109 (38.8%) missing values Missing
G02_15 has 113 (40.2%) missing values Missing
G02_16 has 108 (38.4%) missing values Missing
G01_1 has 109 (38.8%) missing values Missing
G01_2 has 109 (38.8%) missing values Missing
G01_3 has 109 (38.8%) missing values Missing
G01_4 has 109 (38.8%) missing values Missing
G01_5 has 110 (39.1%) missing values Missing
G01_6 has 109 (38.8%) missing values Missing
G01_7 has 110 (39.1%) missing values Missing
G01_8 has 109 (38.8%) missing values Missing
G01_9 has 109 (38.8%) missing values Missing
T01_1 has 127 (45.2%) missing values Missing
T01_2 has 131 (46.6%) missing values Missing
T01_3 has 129 (45.9%) missing values Missing
T01_4 has 130 (46.3%) missing values Missing
T01_5 has 130 (46.3%) missing values Missing
T01_6 has 127 (45.2%) missing values Missing
T01_7 has 131 (46.6%) missing values Missing
T02_1 has 123 (43.8%) missing values Missing
T02_2 has 123 (43.8%) missing values Missing
T02_3 has 123 (43.8%) missing values Missing
T02_4 has 123 (43.8%) missing values Missing
T02_5 has 123 (43.8%) missing values Missing
T02_6 has 123 (43.8%) missing values Missing
T02_7 has 123 (43.8%) missing values Missing
T02_8 has 123 (43.8%) missing values Missing
C01 has 128 (45.6%) missing values Missing
C04 has 128 (45.6%) missing values Missing
C07_1 has 126 (44.8%) missing values Missing
C07_2 has 126 (44.8%) missing values Missing
C07_3 has 126 (44.8%) missing values Missing
C07_4 has 126 (44.8%) missing values Missing
C07_5 has 126 (44.8%) missing values Missing
C07_6 has 126 (44.8%) missing values Missing
C07_7 has 126 (44.8%) missing values Missing
C08 has 129 (45.9%) missing values Missing
C10_1 has 142 (50.5%) missing values Missing
C10_2 has 133 (47.3%) missing values Missing
C10_3 has 132 (47.0%) missing values Missing
C10_4 has 132 (47.0%) missing values Missing
C10_5 has 132 (47.0%) missing values Missing
C10_6 has 133 (47.3%) missing values Missing
C10_7 has 132 (47.0%) missing values Missing
C12_1 has 132 (47.0%) missing values Missing
C12_2 has 132 (47.0%) missing values Missing
C12_3 has 133 (47.3%) missing values Missing
C12_4 has 137 (48.8%) missing values Missing
C12_5 has 134 (47.7%) missing values Missing
D01 has 128 (45.6%) missing values Missing
D02 has 128 (45.6%) missing values Missing
D03_1 has 195 (69.4%) missing values Missing
D03_2 has 196 (69.8%) missing values Missing
D03_3 has 196 (69.8%) missing values Missing
D03_4 has 195 (69.4%) missing values Missing
D03_5 has 196 (69.8%) missing values Missing
D03_6 has 196 (69.8%) missing values Missing
D03_7 has 195 (69.4%) missing values Missing
D03_8 has 196 (69.8%) missing values Missing
D04 has 195 (69.4%) missing values Missing
D06_1 has 195 (69.4%) missing values Missing
D06_2 has 195 (69.4%) missing values Missing
D06_3 has 195 (69.4%) missing values Missing
D06_4 has 195 (69.4%) missing values Missing
D06_5 has 195 (69.4%) missing values Missing
D06_other has 278 (98.9%) missing values Missing
M01_1 has 143 (50.9%) missing values Missing
M01_2 has 142 (50.5%) missing values Missing
M01_3 has 145 (51.6%) missing values Missing
M01_4 has 143 (50.9%) missing values Missing
M01_5 has 141 (50.2%) missing values Missing
M01_6 has 143 (50.9%) missing values Missing
M01_7 has 143 (50.9%) missing values Missing
M01_8 has 142 (50.5%) missing values Missing
M01_9 has 144 (51.2%) missing values Missing
M01_10 has 144 (51.2%) missing values Missing
M01_11 has 143 (50.9%) missing values Missing
M01_12 has 142 (50.5%) missing values Missing
M01_13 has 144 (51.2%) missing values Missing
M01_14 has 142 (50.5%) missing values Missing
M01_15 has 142 (50.5%) missing values Missing
M01_16 has 142 (50.5%) missing values Missing
M01_17 has 142 (50.5%) missing values Missing
M01_18 has 144 (51.2%) missing values Missing
M01_19 has 143 (50.9%) missing values Missing
M01_20 has 142 (50.5%) missing values Missing
M01_21 has 146 (52.0%) missing values Missing
M01_22 has 143 (50.9%) missing values Missing
M01_23 has 142 (50.5%) missing values Missing
M01_24 has 143 (50.9%) missing values Missing
M01_25 has 141 (50.2%) missing values Missing
M01_26 has 143 (50.9%) missing values Missing
M01_27 has 143 (50.9%) missing values Missing
M01_28 has 144 (51.2%) missing values Missing
M01_29 has 143 (50.9%) missing values Missing
M01_30 has 144 (51.2%) missing values Missing
M01_31 has 143 (50.9%) missing values Missing
M01_32 has 142 (50.5%) missing values Missing
M01_33 has 142 (50.5%) missing values Missing
M01_34 has 144 (51.2%) missing values Missing
M01_35 has 143 (50.9%) missing values Missing
F01_1 has 130 (46.3%) missing values Missing
F01_2 has 129 (45.9%) missing values Missing
F01_3 has 130 (46.3%) missing values Missing
F01_4 has 129 (45.9%) missing values Missing
F01_5 has 130 (46.3%) missing values Missing
F01_6 has 129 (45.9%) missing values Missing
F01_7 has 129 (45.9%) missing values Missing
F01_8 has 129 (45.9%) missing values Missing
F01_9 has 131 (46.6%) missing values Missing
F01_10 has 132 (47.0%) missing values Missing
F01_11 has 131 (46.6%) missing values Missing
F01_12 has 132 (47.0%) missing values Missing
F01_13 has 132 (47.0%) missing values Missing
F01_14 has 131 (46.6%) missing values Missing
F01_15 has 131 (46.6%) missing values Missing
F01_16 has 132 (47.0%) missing values Missing
F01_17 has 133 (47.3%) missing values Missing
F01_18 has 133 (47.3%) missing values Missing
F01_19 has 132 (47.0%) missing values Missing
F01_20 has 134 (47.7%) missing values Missing
F01_21 has 132 (47.0%) missing values Missing
F01_22 has 132 (47.0%) missing values Missing
F01_23 has 132 (47.0%) missing values Missing
F01_24 has 133 (47.3%) missing values Missing
F01_25 has 132 (47.0%) missing values Missing
F01_26 has 132 (47.0%) missing values Missing
F01_27 has 133 (47.3%) missing values Missing
F01_28 has 132 (47.0%) missing values Missing
F01_29 has 132 (47.0%) missing values Missing
F01_30 has 132 (47.0%) missing values Missing
F01_31 has 132 (47.0%) missing values Missing
F01_32 has 132 (47.0%) missing values Missing
F01_33 has 132 (47.0%) missing values Missing
F01_34 has 133 (47.3%) missing values Missing
F01_35 has 133 (47.3%) missing values Missing
F01_36 has 132 (47.0%) missing values Missing
F01_37 has 131 (46.6%) missing values Missing
F01_38 has 133 (47.3%) missing values Missing
F01_39 has 131 (46.6%) missing values Missing
F01_40 has 130 (46.3%) missing values Missing
GT_A00 has 38 (13.5%) missing values Missing
GT_A01 has 73 (26.0%) missing values Missing
GT_R has 78 (27.8%) missing values Missing
GT_B has 94 (33.5%) missing values Missing
GT_G has 103 (36.7%) missing values Missing
GT_F has 123 (43.8%) missing values Missing
GT_T has 123 (43.8%) missing values Missing
GT_C has 126 (44.8%) missing values Missing
GT_D has 128 (45.6%) missing values Missing
GT_M has 136 (48.4%) missing values Missing
GT_I has 141 (50.2%) missing values Missing
A00_2 is an unsupported type, check if it needs cleaning or further analysis Unsupported
A04NUM is an unsupported type, check if it needs cleaning or further analysis Unsupported
A04UNITN is an unsupported type, check if it needs cleaning or further analysis Unsupported
A05UNITN is an unsupported type, check if it needs cleaning or further analysis Unsupported
A11NUM is an unsupported type, check if it needs cleaning or further analysis Unsupported
lastpage has 3 (1.1%) zeros Zeros
R03 has 38 (13.5%) zeros Zeros
interviewtime has 38 (13.5%) zeros Zeros

Reproduction

Analysis started2025-03-05 08:46:10.966994
Analysis finished2025-03-05 08:46:13.200210
Duration2.23 seconds
Software versionydata-profiling v0.0.dev0
Download configurationconfig.json

Variables

token
Text

token

Distinct271
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Memory size6.4 KiB
2025-03-05T09:46:13.641896image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length15
Median length15
Mean length15
Min length15

Characters and Unicode

Total characters4215
Distinct characters62
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique261 ?
Unique (%)92.9%

Sample

1st rowZytCd8It0STpz1x
2nd rowpIpfiWms2prKC5p
3rd rowTnugxuj9uq5XJZ4
4th rowxaSWvP9B8i1RGEB
5th rowZylb5OEzAeCqDdG
ValueCountFrequency (%)
xaswvp9b8i1rgeb 2
 
0.7%
zzsevschk445gob 2
 
0.7%
dg6omi8n4u5ow58 2
 
0.7%
yk1jv15ha91cuji 2
 
0.7%
iusnrdevnora0mw 2
 
0.7%
mxuzauh0je28bvy 2
 
0.7%
btvcdzpdocaxhdm 2
 
0.7%
qyshcwczauzukad 2
 
0.7%
cnkie8lkq5sftqd 2
 
0.7%
zla1erd9krqy1tx 2
 
0.7%
Other values (261) 261
92.9%
2025-03-05T09:46:14.292994image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
z 145
 
3.4%
a 142
 
3.4%
V 90
 
2.1%
u 80
 
1.9%
K 80
 
1.9%
C 77
 
1.8%
c 76
 
1.8%
y 76
 
1.8%
H 75
 
1.8%
U 74
 
1.8%
Other values (52) 3300
78.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 4215
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
z 145
 
3.4%
a 142
 
3.4%
V 90
 
2.1%
u 80
 
1.9%
K 80
 
1.9%
C 77
 
1.8%
c 76
 
1.8%
y 76
 
1.8%
H 75
 
1.8%
U 74
 
1.8%
Other values (52) 3300
78.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 4215
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
z 145
 
3.4%
a 142
 
3.4%
V 90
 
2.1%
u 80
 
1.9%
K 80
 
1.9%
C 77
 
1.8%
c 76
 
1.8%
y 76
 
1.8%
H 75
 
1.8%
U 74
 
1.8%
Other values (52) 3300
78.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 4215
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
z 145
 
3.4%
a 142
 
3.4%
V 90
 
2.1%
u 80
 
1.9%
K 80
 
1.9%
C 77
 
1.8%
c 76
 
1.8%
y 76
 
1.8%
H 75
 
1.8%
U 74
 
1.8%
Other values (52) 3300
78.3%

experimentid
Text

Constant 

Experiment Id

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
2025-03-05T09:46:14.491597image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length14
Median length14
Mean length14
Min length14

Characters and Unicode

Total characters3934
Distinct characters11
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowwenetParaguay2
2nd rowwenetParaguay2
3rd rowwenetParaguay2
4th rowwenetParaguay2
5th rowwenetParaguay2
ValueCountFrequency (%)
wenetparaguay2 281
100.0%
2025-03-05T09:46:14.922198image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 843
21.4%
e 562
14.3%
w 281
 
7.1%
n 281
 
7.1%
t 281
 
7.1%
P 281
 
7.1%
r 281
 
7.1%
g 281
 
7.1%
u 281
 
7.1%
y 281
 
7.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 3934
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
a 843
21.4%
e 562
14.3%
w 281
 
7.1%
n 281
 
7.1%
t 281
 
7.1%
P 281
 
7.1%
r 281
 
7.1%
g 281
 
7.1%
u 281
 
7.1%
y 281
 
7.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 3934
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
a 843
21.4%
e 562
14.3%
w 281
 
7.1%
n 281
 
7.1%
t 281
 
7.1%
P 281
 
7.1%
r 281
 
7.1%
g 281
 
7.1%
u 281
 
7.1%
y 281
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 3934
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
a 843
21.4%
e 562
14.3%
w 281
 
7.1%
n 281
 
7.1%
t 281
 
7.1%
P 281
 
7.1%
r 281
 
7.1%
g 281
 
7.1%
u 281
 
7.1%
y 281
 
7.1%

lastpage
Real number (ℝ)

Missing  Zeros 

lastpage

Distinct11
Distinct (%)4.5%
Missing38
Missing (%)13.5%
Infinite0
Infinite (%)0.0%
Mean7.95473251
Minimum-1
Maximum11
Zeros3
Zeros (%)1.1%
Negative7
Negative (%)2.5%
Memory size2.6 KiB
2025-03-05T09:46:15.140014image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile1
Q14
median11
Q311
95-th percentile11
Maximum11
Range12
Interquartile range (IQR)7

Descriptive statistics

Standard deviation4.118343393
Coefficient of variation (CV)0.5177224235
Kurtosis-0.9054935806
Mean7.95473251
Median Absolute Deviation (MAD)0
Skewness-0.862147367
Sum1933
Variance16.9607523
MonotonicityNot monotonic
2025-03-05T09:46:15.388853image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
11 142
50.5%
1 26
 
9.3%
5 20
 
7.1%
3 16
 
5.7%
4 9
 
3.2%
9 9
 
3.2%
-1 7
 
2.5%
7 5
 
1.8%
10 5
 
1.8%
0 3
 
1.1%
(Missing) 38
 
13.5%
ValueCountFrequency (%)
-1 7
 
2.5%
0 3
 
1.1%
1 26
9.3%
2 1
 
0.4%
3 16
5.7%
ValueCountFrequency (%)
11 142
50.5%
10 5
 
1.8%
9 9
 
3.2%
7 5
 
1.8%
5 20
 
7.1%

submitdate
Date

Missing 

submitdate

Distinct142
Distinct (%)100.0%
Missing139
Missing (%)49.5%
Memory size2.3 KiB
Minimum2021-10-25 14:25:51
Maximum2021-11-07 14:06:57
2025-03-05T09:46:15.690450image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-03-05T09:46:16.033130image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

startlanguage
Text

Constant 

startlanguage

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
2025-03-05T09:46:16.227964image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters562
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowes
2nd rowes
3rd rowes
4th rowes
5th rowes
ValueCountFrequency (%)
es 281
100.0%
2025-03-05T09:46:16.630171image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 281
50.0%
s 281
50.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 562
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
e 281
50.0%
s 281
50.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 562
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
e 281
50.0%
s 281
50.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 562
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
e 281
50.0%
s 281
50.0%

startdate
Date

startdate

Distinct280
Distinct (%)99.6%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
Minimum2021-10-25 14:12:08
Maximum2021-12-07 02:20:08
2025-03-05T09:46:16.910263image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-03-05T09:46:17.442306image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

datestamp
Date

datestamp

Distinct280
Distinct (%)99.6%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
Minimum2021-10-25 14:25:51
Maximum2021-12-07 02:20:08
2025-03-05T09:46:17.827867image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-03-05T09:46:18.202492image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

refurl
Text

Missing 

refurl

Distinct3
Distinct (%)4.7%
Missing217
Missing (%)77.2%
Memory size3.1 KiB
2025-03-05T09:46:18.475030image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.171875
Min length4

Characters and Unicode

Total characters779
Distinct characters13
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)1.6%

Sample

1st rowandroid-gmail
2nd rowandroid-gmail
3rd rowmail
4th rowandroid-gmail
5th rowandroid-gmail
ValueCountFrequency (%)
android-gmail 58
90.6%
mail 5
 
7.8%
other 1
 
1.6%
2025-03-05T09:46:18.903252image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 121
15.5%
i 121
15.5%
d 116
14.9%
m 63
8.1%
l 63
8.1%
r 59
7.6%
o 59
7.6%
n 58
7.4%
- 58
7.4%
g 58
7.4%
Other values (3) 3
 
0.4%

Most occurring categories

ValueCountFrequency (%)
(unknown) 779
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
a 121
15.5%
i 121
15.5%
d 116
14.9%
m 63
8.1%
l 63
8.1%
r 59
7.6%
o 59
7.6%
n 58
7.4%
- 58
7.4%
g 58
7.4%
Other values (3) 3
 
0.4%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 779
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
a 121
15.5%
i 121
15.5%
d 116
14.9%
m 63
8.1%
l 63
8.1%
r 59
7.6%
o 59
7.6%
n 58
7.4%
- 58
7.4%
g 58
7.4%
Other values (3) 3
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 779
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
a 121
15.5%
i 121
15.5%
d 116
14.9%
m 63
8.1%
l 63
8.1%
r 59
7.6%
o 59
7.6%
n 58
7.4%
- 58
7.4%
g 58
7.4%
Other values (3) 3
 
0.4%

A00_1
Real number (ℝ)

Missing 

nan

Distinct2
Distinct (%)0.8%
Missing45
Missing (%)16.0%
Infinite0
Infinite (%)0.0%
Mean1.012711864
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2025-03-05T09:46:19.113941image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.112266105
Coefficient of variation (CV)0.110856907
Kurtosis75.2905635
Mean1.012711864
Median Absolute Deviation (MAD)0
Skewness8.755144601
Sum239
Variance0.01260367833
MonotonicityNot monotonic
2025-03-05T09:46:19.338929image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 233
82.9%
2 3
 
1.1%
(Missing) 45
 
16.0%
ValueCountFrequency (%)
1 233
82.9%
2 3
 
1.1%
ValueCountFrequency (%)
2 3
 
1.1%
1 233
82.9%

A00_2
Unsupported

Missing  Rejected  Unsupported 

nan

Missing281
Missing (%)100.0%
Memory size2.6 KiB

A01
Real number (ℝ)

Missing 

Which gender were you born? Answer: Male, Female

Distinct2
Distinct (%)1.0%
Missing74
Missing (%)26.3%
Infinite0
Infinite (%)0.0%
Mean1.61352657
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2025-03-05T09:46:19.565300image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4881216505
Coefficient of variation (CV)0.3025185079
Kurtosis-1.796842034
Mean1.61352657
Median Absolute Deviation (MAD)0
Skewness-0.4696949878
Sum334
Variance0.2382627456
MonotonicityNot monotonic
2025-03-05T09:46:19.807978image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 127
45.2%
1 80
28.5%
(Missing) 74
26.3%
ValueCountFrequency (%)
1 80
28.5%
2 127
45.2%
ValueCountFrequency (%)
2 127
45.2%
1 80
28.5%

A02
Real number (ℝ)

Missing 

When were you born? Answer: Year |___|

Distinct27
Distinct (%)13.0%
Missing73
Missing (%)26.0%
Infinite0
Infinite (%)0.0%
Mean1987.759615
Minimum200
Maximum2002
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2025-03-05T09:46:20.067794image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum200
5-th percentile1985.35
Q11995.75
median1998
Q32000
95-th percentile2001
Maximum2002
Range1802
Interquartile range (IQR)4.25

Descriptive statistics

Standard deviation124.7102532
Coefficient of variation (CV)0.06273910196
Kurtosis206.9690537
Mean1987.759615
Median Absolute Deviation (MAD)2
Skewness-14.369235
Sum413454
Variance15552.64725
MonotonicityNot monotonic
2025-03-05T09:46:20.350628image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
1998 33
11.7%
1999 30
10.7%
2000 28
 
10.0%
1997 21
 
7.5%
2001 21
 
7.5%
1996 14
 
5.0%
1995 10
 
3.6%
2002 9
 
3.2%
1994 8
 
2.8%
1993 6
 
2.1%
Other values (17) 28
 
10.0%
(Missing) 73
26.0%
ValueCountFrequency (%)
200 1
0.4%
1956 1
0.4%
1959 1
0.4%
1971 1
0.4%
1975 1
0.4%
ValueCountFrequency (%)
2002 9
 
3.2%
2001 21
7.5%
2000 28
10.0%
1999 30
10.7%
1998 33
11.7%

A03
Real number (ℝ)

Missing 

What is your nationality? Answer: List, see Appendix

Distinct5
Distinct (%)2.4%
Missing75
Missing (%)26.7%
Infinite0
Infinite (%)0.0%
Mean153.4902913
Minimum8
Maximum157
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2025-03-05T09:46:20.592954image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile157
Q1157
median157
Q3157
95-th percentile157
Maximum157
Range149
Interquartile range (IQR)0

Descriptive statistics

Standard deviation21.72168531
Coefficient of variation (CV)0.1415183014
Kurtosis37.58034219
Mean153.4902913
Median Absolute Deviation (MAD)0
Skewness-6.233668385
Sum31619
Variance471.8316126
MonotonicityNot monotonic
2025-03-05T09:46:20.813443image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
157 200
71.2%
29 2
 
0.7%
8 2
 
0.7%
10 1
 
0.4%
135 1
 
0.4%
(Missing) 75
 
26.7%
ValueCountFrequency (%)
8 2
 
0.7%
10 1
 
0.4%
29 2
 
0.7%
135 1
 
0.4%
157 200
71.2%
ValueCountFrequency (%)
157 200
71.2%
135 1
 
0.4%
29 2
 
0.7%
10 1
 
0.4%
8 2
 
0.7%

A04NUM
Unsupported

Missing  Rejected  Unsupported 

In what faculty/department are you studying?

Missing281
Missing (%)100.0%
Memory size2.6 KiB

A04UC
Real number (ℝ)

Missing 

In what faculty/department are you studying?

Distinct5
Distinct (%)2.5%
Missing82
Missing (%)29.2%
Infinite0
Infinite (%)0.0%
Mean2.180904523
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2025-03-05T09:46:21.052272image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.071879868
Coefficient of variation (CV)0.4914840867
Kurtosis1.025603308
Mean2.180904523
Median Absolute Deviation (MAD)1
Skewness1.149024339
Sum434
Variance1.14892645
MonotonicityNot monotonic
2025-03-05T09:46:21.305432image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 96
34.2%
1 51
18.1%
3 30
 
10.7%
5 13
 
4.6%
4 9
 
3.2%
(Missing) 82
29.2%
ValueCountFrequency (%)
1 51
18.1%
2 96
34.2%
3 30
 
10.7%
4 9
 
3.2%
5 13
 
4.6%
ValueCountFrequency (%)
5 13
 
4.6%
4 9
 
3.2%
3 30
 
10.7%
2 96
34.2%
1 51
18.1%

A04UNITN
Unsupported

Missing  Rejected  Unsupported 

In what faculty/department are you studying?

Missing281
Missing (%)100.0%
Memory size2.6 KiB

A05
Real number (ℝ)

Missing 

Type of degree Answer: 1. BSc, 2. MSc, 3. 5 years (UNITN)

Distinct2
Distinct (%)1.0%
Missing76
Missing (%)27.0%
Infinite0
Infinite (%)0.0%
Mean1.024390244
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2025-03-05T09:46:21.557779image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1546350666
Coefficient of variation (CV)0.1509532793
Kurtosis36.9491928
Mean1.024390244
Median Absolute Deviation (MAD)0
Skewness6.211987708
Sum210
Variance0.02391200383
MonotonicityNot monotonic
2025-03-05T09:46:21.794483image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 200
71.2%
2 5
 
1.8%
(Missing) 76
 
27.0%
ValueCountFrequency (%)
1 200
71.2%
2 5
 
1.8%
ValueCountFrequency (%)
2 5
 
1.8%
1 200
71.2%

A05UNITN
Unsupported

Missing  Rejected  Unsupported 

Type of degree Answer: 1. BSc, 2. MSc, 3. 5 years (UNITN)

Missing281
Missing (%)100.0%
Memory size2.6 KiB

A07
Real number (ℝ)

Missing 

Course year Answer: |__|

Distinct6
Distinct (%)3.0%
Missing79
Missing (%)28.1%
Infinite0
Infinite (%)0.0%
Mean3.915841584
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2025-03-05T09:46:22.014120image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median4
Q35
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.413455782
Coefficient of variation (CV)0.3609583666
Kurtosis-0.8036431902
Mean3.915841584
Median Absolute Deviation (MAD)1
Skewness-0.2980410167
Sum791
Variance1.997857248
MonotonicityNot monotonic
2025-03-05T09:46:22.257508image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
4 53
18.9%
5 49
17.4%
3 32
11.4%
2 30
 
10.7%
6 28
 
10.0%
1 10
 
3.6%
(Missing) 79
28.1%
ValueCountFrequency (%)
1 10
 
3.6%
2 30
10.7%
3 32
11.4%
4 53
18.9%
5 49
17.4%
ValueCountFrequency (%)
6 28
10.0%
5 49
17.4%
4 53
18.9%
3 32
11.4%
2 30
10.7%

A11NUM
Unsupported

Missing  Rejected  Unsupported 

What kind of accommodation are you living in? Answer: 1.University students’ Residence (dormitory), 2.University flat, 3.University campus, 4.A private sector Hall of Residence, 5.Rental house/flat, 6.In a house/apartment owned (by you, your parents, or relatives), 7.Guest of a private person, 8.Guest of friend or friends

Missing281
Missing (%)100.0%
Memory size2.6 KiB

A11
Real number (ℝ)

Missing 

What kind of accommodation are you living in? Answer: 1.University students’ Residence (dormitory), 2.University flat, 3.University campus, 4.A private sector Hall of Residence, 5.Rental house/flat, 6.In a house/apartment owned (by you, your parents, or relatives), 7.Guest of a private person, 8.Guest of friend or friends

Distinct3
Distinct (%)1.5%
Missing76
Missing (%)27.0%
Infinite0
Infinite (%)0.0%
Mean5.829268293
Minimum5
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2025-03-05T09:46:22.481853image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile5
Q16
median6
Q36
95-th percentile6
Maximum7
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4023484384
Coefficient of variation (CV)0.06902211705
Kurtosis1.076971243
Mean5.829268293
Median Absolute Deviation (MAD)0
Skewness-1.296949231
Sum1195
Variance0.1618842659
MonotonicityNot monotonic
2025-03-05T09:46:22.739997image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
6 166
59.1%
5 37
 
13.2%
7 2
 
0.7%
(Missing) 76
27.0%
ValueCountFrequency (%)
5 37
 
13.2%
6 166
59.1%
7 2
 
0.7%
ValueCountFrequency (%)
7 2
 
0.7%
6 166
59.1%
5 37
 
13.2%

R03
Real number (ℝ)

Missing  Zeros 

nan

Distinct10
Distinct (%)5.0%
Missing82
Missing (%)29.2%
Infinite0
Infinite (%)0.0%
Mean1.854271357
Minimum0
Maximum10
Zeros38
Zeros (%)13.5%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2025-03-05T09:46:23.004948image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q32
95-th percentile5
Maximum10
Range10
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.750575474
Coefficient of variation (CV)0.9440772884
Kurtosis3.852438346
Mean1.854271357
Median Absolute Deviation (MAD)1
Skewness1.714541879
Sum369
Variance3.064514492
MonotonicityNot monotonic
2025-03-05T09:46:23.250250image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
1 63
22.4%
2 51
18.1%
0 38
13.5%
3 22
 
7.8%
5 8
 
2.8%
4 8
 
2.8%
8 3
 
1.1%
6 3
 
1.1%
7 2
 
0.7%
10 1
 
0.4%
(Missing) 82
29.2%
ValueCountFrequency (%)
0 38
13.5%
1 63
22.4%
2 51
18.1%
3 22
 
7.8%
4 8
 
2.8%
ValueCountFrequency (%)
10 1
 
0.4%
8 3
 
1.1%
7 2
 
0.7%
6 3
 
1.1%
5 8
2.8%

B01_1
Real number (ℝ)

Missing 

Describe yourself as you generally are now. Use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate Answer: 1.Am the life of the party,

Distinct5
Distinct (%)2.7%
Missing99
Missing (%)35.2%
Infinite0
Infinite (%)0.0%
Mean2.675824176
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2025-03-05T09:46:23.483147image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11.25
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2.75

Descriptive statistics

Standard deviation1.23903729
Coefficient of variation (CV)0.4630488434
Kurtosis-1.031383373
Mean2.675824176
Median Absolute Deviation (MAD)1
Skewness0.03947006581
Sum487
Variance1.535213405
MonotonicityNot monotonic
2025-03-05T09:46:23.739399image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 59
21.0%
1 46
16.4%
4 37
 
13.2%
2 28
 
10.0%
5 12
 
4.3%
(Missing) 99
35.2%
ValueCountFrequency (%)
1 46
16.4%
2 28
10.0%
3 59
21.0%
4 37
13.2%
5 12
 
4.3%
ValueCountFrequency (%)
5 12
 
4.3%
4 37
13.2%
3 59
21.0%
2 28
10.0%
1 46
16.4%

B01_2
Real number (ℝ)

Missing 

Describe yourself as you generally are now. Use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate Answer: 2.Sympathize with others’ feelings

Distinct5
Distinct (%)2.7%
Missing99
Missing (%)35.2%
Infinite0
Infinite (%)0.0%
Mean4.038461538
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2025-03-05T09:46:23.994033image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median4
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9305459968
Coefficient of variation (CV)0.2304209135
Kurtosis1.241404908
Mean4.038461538
Median Absolute Deviation (MAD)1
Skewness-1.075235658
Sum735
Variance0.8659158521
MonotonicityNot monotonic
2025-03-05T09:46:24.244776image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 81
28.8%
5 62
22.1%
3 27
 
9.6%
2 8
 
2.8%
1 4
 
1.4%
(Missing) 99
35.2%
ValueCountFrequency (%)
1 4
 
1.4%
2 8
 
2.8%
3 27
 
9.6%
4 81
28.8%
5 62
22.1%
ValueCountFrequency (%)
5 62
22.1%
4 81
28.8%
3 27
 
9.6%
2 8
 
2.8%
1 4
 
1.4%

B01_3
Real number (ℝ)

Missing 

Describe yourself as you generally are now. Use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate Answer: 3.Get chores done right away

Distinct5
Distinct (%)2.7%
Missing98
Missing (%)34.9%
Infinite0
Infinite (%)0.0%
Mean3.393442623
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2025-03-05T09:46:24.496440image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.1
Q12.5
median4
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1.5

Descriptive statistics

Standard deviation1.166548707
Coefficient of variation (CV)0.343765561
Kurtosis-0.8656526111
Mean3.393442623
Median Absolute Deviation (MAD)1
Skewness-0.2641330332
Sum621
Variance1.360835885
MonotonicityNot monotonic
2025-03-05T09:46:24.751783image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 56
19.9%
3 45
16.0%
2 36
 
12.8%
5 36
 
12.8%
1 10
 
3.6%
(Missing) 98
34.9%
ValueCountFrequency (%)
1 10
 
3.6%
2 36
12.8%
3 45
16.0%
4 56
19.9%
5 36
12.8%
ValueCountFrequency (%)
5 36
12.8%
4 56
19.9%
3 45
16.0%
2 36
12.8%
1 10
 
3.6%

B01_4
Real number (ℝ)

Missing 

Describe yourself as you generally are now. Use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate Answer: 4.Have frequent mood swings

Distinct5
Distinct (%)2.8%
Missing100
Missing (%)35.6%
Infinite0
Infinite (%)0.0%
Mean3.027624309
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2025-03-05T09:46:25.003396image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.194575421
Coefficient of variation (CV)0.39455867
Kurtosis-0.8741391874
Mean3.027624309
Median Absolute Deviation (MAD)1
Skewness0.005632843452
Sum548
Variance1.427010436
MonotonicityNot monotonic
2025-03-05T09:46:25.261331image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 53
18.9%
2 43
15.3%
4 42
14.9%
5 23
 
8.2%
1 20
 
7.1%
(Missing) 100
35.6%
ValueCountFrequency (%)
1 20
 
7.1%
2 43
15.3%
3 53
18.9%
4 42
14.9%
5 23
8.2%
ValueCountFrequency (%)
5 23
8.2%
4 42
14.9%
3 53
18.9%
2 43
15.3%
1 20
 
7.1%

B01_5
Real number (ℝ)

Missing 

Describe yourself as you generally are now. Use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate Answer: 5.Have a vivid imagination

Distinct5
Distinct (%)2.8%
Missing100
Missing (%)35.6%
Infinite0
Infinite (%)0.0%
Mean3.685082873
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2025-03-05T09:46:25.514650image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median4
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.072509321
Coefficient of variation (CV)0.2910407602
Kurtosis-0.1919737952
Mean3.685082873
Median Absolute Deviation (MAD)1
Skewness-0.6271902403
Sum667
Variance1.150276243
MonotonicityNot monotonic
2025-03-05T09:46:25.779530image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 69
24.6%
5 44
15.7%
3 42
14.9%
2 19
 
6.8%
1 7
 
2.5%
(Missing) 100
35.6%
ValueCountFrequency (%)
1 7
 
2.5%
2 19
 
6.8%
3 42
14.9%
4 69
24.6%
5 44
15.7%
ValueCountFrequency (%)
5 44
15.7%
4 69
24.6%
3 42
14.9%
2 19
 
6.8%
1 7
 
2.5%

B01_6
Real number (ℝ)

Missing 

Describe yourself as you generally are now. Use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate Answer: 6.Don’t talk a lot

Distinct5
Distinct (%)2.7%
Missing98
Missing (%)34.9%
Infinite0
Infinite (%)0.0%
Mean2.912568306
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2025-03-05T09:46:26.037149image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.27658777
Coefficient of variation (CV)0.438303118
Kurtosis-0.9890132473
Mean2.912568306
Median Absolute Deviation (MAD)1
Skewness0.1493175808
Sum533
Variance1.629676335
MonotonicityNot monotonic
2025-03-05T09:46:26.304282image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 50
17.8%
2 46
16.4%
4 32
 
11.4%
1 28
 
10.0%
5 27
 
9.6%
(Missing) 98
34.9%
ValueCountFrequency (%)
1 28
10.0%
2 46
16.4%
3 50
17.8%
4 32
11.4%
5 27
9.6%
ValueCountFrequency (%)
5 27
9.6%
4 32
11.4%
3 50
17.8%
2 46
16.4%
1 28
10.0%

B01_7
Real number (ℝ)

Missing 

Describe yourself as you generally are now. Use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate Answer: 7.Am not interested in other people’s problems

Distinct5
Distinct (%)2.8%
Missing100
Missing (%)35.6%
Infinite0
Infinite (%)0.0%
Mean2.563535912
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2025-03-05T09:46:26.555494image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.239442834
Coefficient of variation (CV)0.4834895538
Kurtosis-0.8941993442
Mean2.563535912
Median Absolute Deviation (MAD)1
Skewness0.4016071035
Sum464
Variance1.536218539
MonotonicityNot monotonic
2025-03-05T09:46:26.818315image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 58
20.6%
1 41
14.6%
3 35
 
12.5%
4 33
 
11.7%
5 14
 
5.0%
(Missing) 100
35.6%
ValueCountFrequency (%)
1 41
14.6%
2 58
20.6%
3 35
12.5%
4 33
11.7%
5 14
 
5.0%
ValueCountFrequency (%)
5 14
 
5.0%
4 33
11.7%
3 35
12.5%
2 58
20.6%
1 41
14.6%

B01_8
Real number (ℝ)

Missing 

Describe yourself as you generally are now. Use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate Answer: 8.Often forget to put things back in their proper place

Distinct5
Distinct (%)2.8%
Missing100
Missing (%)35.6%
Infinite0
Infinite (%)0.0%
Mean2.861878453
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2025-03-05T09:46:27.074218image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.324023668
Coefficient of variation (CV)0.4626414748
Kurtosis-1.112372973
Mean2.861878453
Median Absolute Deviation (MAD)1
Skewness0.09736413502
Sum518
Variance1.753038674
MonotonicityNot monotonic
2025-03-05T09:46:27.322764image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 45
16.0%
2 39
 
13.9%
1 36
 
12.8%
4 36
 
12.8%
5 25
 
8.9%
(Missing) 100
35.6%
ValueCountFrequency (%)
1 36
12.8%
2 39
13.9%
3 45
16.0%
4 36
12.8%
5 25
8.9%
ValueCountFrequency (%)
5 25
8.9%
4 36
12.8%
3 45
16.0%
2 39
13.9%
1 36
12.8%

B01_9
Real number (ℝ)

Missing 

Describe yourself as you generally are now. Use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate Answer: 9.Am relaxed most of the time

Distinct5
Distinct (%)2.8%
Missing100
Missing (%)35.6%
Infinite0
Infinite (%)0.0%
Mean2.679558011
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2025-03-05T09:46:27.569675image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.285419008
Coefficient of variation (CV)0.479713073
Kurtosis-0.9444047104
Mean2.679558011
Median Absolute Deviation (MAD)1
Skewness0.2853057896
Sum485
Variance1.652302026
MonotonicityNot monotonic
2025-03-05T09:46:27.828300image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 48
17.1%
2 44
15.7%
1 41
14.6%
4 28
 
10.0%
5 20
 
7.1%
(Missing) 100
35.6%
ValueCountFrequency (%)
1 41
14.6%
2 44
15.7%
3 48
17.1%
4 28
10.0%
5 20
7.1%
ValueCountFrequency (%)
5 20
7.1%
4 28
10.0%
3 48
17.1%
2 44
15.7%
1 41
14.6%

B01_10
Real number (ℝ)

Missing 

Describe yourself as you generally are now. Use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate Answer: 10.Am not interested in abstract ideas

Distinct5
Distinct (%)2.8%
Missing101
Missing (%)35.9%
Infinite0
Infinite (%)0.0%
Mean2.472222222
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2025-03-05T09:46:28.088356image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.085354796
Coefficient of variation (CV)0.4390199177
Kurtosis-0.5527119618
Mean2.472222222
Median Absolute Deviation (MAD)1
Skewness0.2709731193
Sum445
Variance1.177995034
MonotonicityNot monotonic
2025-03-05T09:46:28.354772image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 63
22.4%
2 48
17.1%
1 41
14.6%
4 21
 
7.5%
5 7
 
2.5%
(Missing) 101
35.9%
ValueCountFrequency (%)
1 41
14.6%
2 48
17.1%
3 63
22.4%
4 21
 
7.5%
5 7
 
2.5%
ValueCountFrequency (%)
5 7
 
2.5%
4 21
 
7.5%
3 63
22.4%
2 48
17.1%
1 41
14.6%

B01_11
Real number (ℝ)

Missing 

Describe yourself as you generally are now. Use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate Answer: 11.Talk to a lot of different people at parties

Distinct5
Distinct (%)2.8%
Missing101
Missing (%)35.9%
Infinite0
Infinite (%)0.0%
Mean2.433333333
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2025-03-05T09:46:28.618635image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.324880094
Coefficient of variation (CV)0.5444712714
Kurtosis-0.908507697
Mean2.433333333
Median Absolute Deviation (MAD)1
Skewness0.5171681956
Sum438
Variance1.755307263
MonotonicityNot monotonic
2025-03-05T09:46:28.884594image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 59
21.0%
2 43
15.3%
3 36
 
12.8%
4 25
 
8.9%
5 17
 
6.0%
(Missing) 101
35.9%
ValueCountFrequency (%)
1 59
21.0%
2 43
15.3%
3 36
12.8%
4 25
8.9%
5 17
 
6.0%
ValueCountFrequency (%)
5 17
 
6.0%
4 25
8.9%
3 36
12.8%
2 43
15.3%
1 59
21.0%

B01_12
Real number (ℝ)

Missing 

Describe yourself as you generally are now. Use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate Answer: 12.Feel others’ emotions,

Distinct5
Distinct (%)2.8%
Missing101
Missing (%)35.9%
Infinite0
Infinite (%)0.0%
Mean3.7
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2025-03-05T09:46:29.147732image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median4
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.035136889
Coefficient of variation (CV)0.2797667269
Kurtosis-0.2415202452
Mean3.7
Median Absolute Deviation (MAD)1
Skewness-0.5629204035
Sum666
Variance1.07150838
MonotonicityNot monotonic
2025-03-05T09:46:29.646524image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 69
24.6%
3 44
15.7%
5 43
15.3%
2 19
 
6.8%
1 5
 
1.8%
(Missing) 101
35.9%
ValueCountFrequency (%)
1 5
 
1.8%
2 19
 
6.8%
3 44
15.7%
4 69
24.6%
5 43
15.3%
ValueCountFrequency (%)
5 43
15.3%
4 69
24.6%
3 44
15.7%
2 19
 
6.8%
1 5
 
1.8%

B01_13
Real number (ℝ)

Missing 

Describe yourself as you generally are now. Use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate Answer: 13.Like order

Distinct5
Distinct (%)2.8%
Missing101
Missing (%)35.9%
Infinite0
Infinite (%)0.0%
Mean4.1
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2025-03-05T09:46:29.917027image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median4
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9460296333
Coefficient of variation (CV)0.2307389349
Kurtosis0.3509482896
Mean4.1
Median Absolute Deviation (MAD)1
Skewness-0.9223993236
Sum738
Variance0.894972067
MonotonicityNot monotonic
2025-03-05T09:46:30.182039image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 74
26.3%
4 64
22.8%
3 30
 
10.7%
2 10
 
3.6%
1 2
 
0.7%
(Missing) 101
35.9%
ValueCountFrequency (%)
1 2
 
0.7%
2 10
 
3.6%
3 30
10.7%
4 64
22.8%
5 74
26.3%
ValueCountFrequency (%)
5 74
26.3%
4 64
22.8%
3 30
10.7%
2 10
 
3.6%
1 2
 
0.7%

B01_14
Real number (ℝ)

Missing 

Describe yourself as you generally are now. Use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate Answer: 14.Get upset easily

Distinct5
Distinct (%)2.8%
Missing102
Missing (%)36.3%
Infinite0
Infinite (%)0.0%
Mean3.089385475
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2025-03-05T09:46:30.439054image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.255481985
Coefficient of variation (CV)0.4063856695
Kurtosis-1.023477455
Mean3.089385475
Median Absolute Deviation (MAD)1
Skewness-0.08430435683
Sum553
Variance1.576235013
MonotonicityNot monotonic
2025-03-05T09:46:30.689914image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 46
16.4%
3 44
15.7%
2 40
 
14.2%
5 27
 
9.6%
1 22
 
7.8%
(Missing) 102
36.3%
ValueCountFrequency (%)
1 22
7.8%
2 40
14.2%
3 44
15.7%
4 46
16.4%
5 27
9.6%
ValueCountFrequency (%)
5 27
9.6%
4 46
16.4%
3 44
15.7%
2 40
14.2%
1 22
7.8%

B01_15
Real number (ℝ)

Missing 

Describe yourself as you generally are now. Use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate Answer: 15.Have difficulty understanding abstract ideas

Distinct5
Distinct (%)2.8%
Missing101
Missing (%)35.9%
Infinite0
Infinite (%)0.0%
Mean2.511111111
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2025-03-05T09:46:30.937969image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q33
95-th percentile4.05
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.080496931
Coefficient of variation (CV)0.4302863886
Kurtosis-0.366360228
Mean2.511111111
Median Absolute Deviation (MAD)1
Skewness0.3741030403
Sum452
Variance1.167473619
MonotonicityNot monotonic
2025-03-05T09:46:31.200266image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 60
21.4%
2 56
19.9%
1 35
 
12.5%
4 20
 
7.1%
5 9
 
3.2%
(Missing) 101
35.9%
ValueCountFrequency (%)
1 35
12.5%
2 56
19.9%
3 60
21.4%
4 20
 
7.1%
5 9
 
3.2%
ValueCountFrequency (%)
5 9
 
3.2%
4 20
 
7.1%
3 60
21.4%
2 56
19.9%
1 35
12.5%

B01_16
Real number (ℝ)

Missing 

Describe yourself as you generally are now. Use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate Answer: 16.Keep in the background

Distinct5
Distinct (%)2.8%
Missing101
Missing (%)35.9%
Infinite0
Infinite (%)0.0%
Mean2.983333333
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2025-03-05T09:46:31.455754image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.105976653
Coefficient of variation (CV)0.3707184313
Kurtosis-0.6447856438
Mean2.983333333
Median Absolute Deviation (MAD)1
Skewness-0.2173683126
Sum537
Variance1.223184358
MonotonicityNot monotonic
2025-03-05T09:46:31.715761image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 63
22.4%
4 50
17.8%
2 33
 
11.7%
1 22
 
7.8%
5 12
 
4.3%
(Missing) 101
35.9%
ValueCountFrequency (%)
1 22
 
7.8%
2 33
11.7%
3 63
22.4%
4 50
17.8%
5 12
 
4.3%
ValueCountFrequency (%)
5 12
 
4.3%
4 50
17.8%
3 63
22.4%
2 33
11.7%
1 22
 
7.8%

B01_17
Real number (ℝ)

Missing 

Describe yourself as you generally are now. Use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate Answer: 17.Am not really interested in others

Distinct5
Distinct (%)2.8%
Missing101
Missing (%)35.9%
Infinite0
Infinite (%)0.0%
Mean2.272222222
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2025-03-05T09:46:31.970026image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.087411747
Coefficient of variation (CV)0.4785675171
Kurtosis-0.2301461771
Mean2.272222222
Median Absolute Deviation (MAD)1
Skewness0.6261374946
Sum409
Variance1.182464308
MonotonicityNot monotonic
2025-03-05T09:46:32.228715image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 62
22.1%
1 50
17.8%
3 44
15.7%
4 17
 
6.0%
5 7
 
2.5%
(Missing) 101
35.9%
ValueCountFrequency (%)
1 50
17.8%
2 62
22.1%
3 44
15.7%
4 17
 
6.0%
5 7
 
2.5%
ValueCountFrequency (%)
5 7
 
2.5%
4 17
 
6.0%
3 44
15.7%
2 62
22.1%
1 50
17.8%

B01_18
Real number (ℝ)

Missing 

Describe yourself as you generally are now. Use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate Answer: 18.Make a mess of things

Distinct5
Distinct (%)2.8%
Missing101
Missing (%)35.9%
Infinite0
Infinite (%)0.0%
Mean1.838888889
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2025-03-05T09:46:32.479509image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.089122905
Coefficient of variation (CV)0.5922722747
Kurtosis0.9355498947
Mean1.838888889
Median Absolute Deviation (MAD)0
Skewness1.269791063
Sum331
Variance1.186188703
MonotonicityNot monotonic
2025-03-05T09:46:32.728999image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 94
33.5%
2 43
15.3%
3 28
 
10.0%
4 8
 
2.8%
5 7
 
2.5%
(Missing) 101
35.9%
ValueCountFrequency (%)
1 94
33.5%
2 43
15.3%
3 28
 
10.0%
4 8
 
2.8%
5 7
 
2.5%
ValueCountFrequency (%)
5 7
 
2.5%
4 8
 
2.8%
3 28
 
10.0%
2 43
15.3%
1 94
33.5%

B01_19
Real number (ℝ)

Missing 

Describe yourself as you generally are now. Use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate Answer: 19.Seldom feel blue

Distinct5
Distinct (%)2.8%
Missing100
Missing (%)35.6%
Infinite0
Infinite (%)0.0%
Mean2.845303867
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2025-03-05T09:46:32.989424image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.219445476
Coefficient of variation (CV)0.428581808
Kurtosis-0.9103091242
Mean2.845303867
Median Absolute Deviation (MAD)1
Skewness0.132874397
Sum515
Variance1.487047268
MonotonicityNot monotonic
2025-03-05T09:46:33.266688image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 50
17.8%
2 47
16.7%
4 37
 
13.2%
1 28
 
10.0%
5 19
 
6.8%
(Missing) 100
35.6%
ValueCountFrequency (%)
1 28
10.0%
2 47
16.7%
3 50
17.8%
4 37
13.2%
5 19
 
6.8%
ValueCountFrequency (%)
5 19
 
6.8%
4 37
13.2%
3 50
17.8%
2 47
16.7%
1 28
10.0%

B01_20
Real number (ℝ)

Missing 

Describe yourself as you generally are now. Use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate Answer: 20.Do not have a good imagination

Distinct5
Distinct (%)2.8%
Missing101
Missing (%)35.9%
Infinite0
Infinite (%)0.0%
Mean2.161111111
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2025-03-05T09:46:33.520276image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.182573129
Coefficient of variation (CV)0.5472060751
Kurtosis-0.4442588348
Mean2.161111111
Median Absolute Deviation (MAD)1
Skewness0.7284767248
Sum389
Variance1.398479205
MonotonicityNot monotonic
2025-03-05T09:46:33.785763image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 70
24.9%
2 46
16.4%
3 37
 
13.2%
4 19
 
6.8%
5 8
 
2.8%
(Missing) 101
35.9%
ValueCountFrequency (%)
1 70
24.9%
2 46
16.4%
3 37
13.2%
4 19
 
6.8%
5 8
 
2.8%
ValueCountFrequency (%)
5 8
 
2.8%
4 19
 
6.8%
3 37
13.2%
2 46
16.4%
1 70
24.9%

G02_1
Real number (ℝ)

Missing 

How often, did you following, view and/or listen to the recordings of: 1. Never, 2., 3., 4., 5., 6. Very often Answer: Theatre plays

Distinct6
Distinct (%)3.5%
Missing109
Missing (%)38.8%
Infinite0
Infinite (%)0.0%
Mean2.203488372
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2025-03-05T09:46:34.044141image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile5
Maximum6
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.246932862
Coefficient of variation (CV)0.5658903752
Kurtosis1.369272893
Mean2.203488372
Median Absolute Deviation (MAD)1
Skewness1.309953736
Sum379
Variance1.554841561
MonotonicityNot monotonic
2025-03-05T09:46:34.291999image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2 71
25.3%
1 54
19.2%
3 23
 
8.2%
4 11
 
3.9%
5 8
 
2.8%
6 5
 
1.8%
(Missing) 109
38.8%
ValueCountFrequency (%)
1 54
19.2%
2 71
25.3%
3 23
 
8.2%
4 11
 
3.9%
5 8
 
2.8%
ValueCountFrequency (%)
6 5
 
1.8%
5 8
 
2.8%
4 11
 
3.9%
3 23
 
8.2%
2 71
25.3%

G02_2
Real number (ℝ)

Missing 

How often, did you following, view and/or listen to the recordings of: 1. Never, 2., 3., 4., 5., 6. Very often Answer: Cabarets, or a stand-up comedy.

Distinct6
Distinct (%)3.5%
Missing109
Missing (%)38.8%
Infinite0
Infinite (%)0.0%
Mean2.436046512
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2025-03-05T09:46:34.525543image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.54142888
Coefficient of variation (CV)0.6327583946
Kurtosis-0.1663012777
Mean2.436046512
Median Absolute Deviation (MAD)1
Skewness0.9357867781
Sum419
Variance2.376002992
MonotonicityNot monotonic
2025-03-05T09:46:34.769434image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 64
22.8%
2 41
 
14.6%
3 30
 
10.7%
5 13
 
4.6%
4 13
 
4.6%
6 11
 
3.9%
(Missing) 109
38.8%
ValueCountFrequency (%)
1 64
22.8%
2 41
14.6%
3 30
10.7%
4 13
 
4.6%
5 13
 
4.6%
ValueCountFrequency (%)
6 11
 
3.9%
5 13
 
4.6%
4 13
 
4.6%
3 30
10.7%
2 41
14.6%

G02_3
Real number (ℝ)

Missing 

How often, did you following, view and/or listen to the recordings of: 1. Never, 2., 3., 4., 5., 6. Very often Answer: Ballets or a modern dance

Distinct6
Distinct (%)3.5%
Missing108
Missing (%)38.4%
Infinite0
Infinite (%)0.0%
Mean2.572254335
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2025-03-05T09:46:35.001647image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q34
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.639531309
Coefficient of variation (CV)0.6373908233
Kurtosis-0.550107831
Mean2.572254335
Median Absolute Deviation (MAD)1
Skewness0.8232561235
Sum445
Variance2.688062912
MonotonicityNot monotonic
2025-03-05T09:46:35.252136image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 60
21.4%
2 45
16.0%
3 21
 
7.5%
4 18
 
6.4%
6 15
 
5.3%
5 14
 
5.0%
(Missing) 108
38.4%
ValueCountFrequency (%)
1 60
21.4%
2 45
16.0%
3 21
 
7.5%
4 18
 
6.4%
5 14
 
5.0%
ValueCountFrequency (%)
6 15
 
5.3%
5 14
 
5.0%
4 18
 
6.4%
3 21
7.5%
2 45
16.0%

G02_4
Real number (ℝ)

Missing 

How often, did you following, view and/or listen to the recordings of: 1. Never, 2., 3., 4., 5., 6. Very often Answer: Classical music

Distinct6
Distinct (%)3.5%
Missing109
Missing (%)38.8%
Infinite0
Infinite (%)0.0%
Mean2.930232558
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2025-03-05T09:46:35.484914image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q34
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.698232295
Coefficient of variation (CV)0.5795554658
Kurtosis-0.9770928849
Mean2.930232558
Median Absolute Deviation (MAD)1
Skewness0.5524245092
Sum504
Variance2.883992928
MonotonicityNot monotonic
2025-03-05T09:46:35.727899image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2 45
16.0%
1 42
 
14.9%
3 29
 
10.3%
6 21
 
7.5%
5 19
 
6.8%
4 16
 
5.7%
(Missing) 109
38.8%
ValueCountFrequency (%)
1 42
14.9%
2 45
16.0%
3 29
10.3%
4 16
 
5.7%
5 19
6.8%
ValueCountFrequency (%)
6 21
7.5%
5 19
6.8%
4 16
 
5.7%
3 29
10.3%
2 45
16.0%

G02_5
Real number (ℝ)

Missing 

How often, did you following, view and/or listen to the recordings of: 1. Never, 2., 3., 4., 5., 6. Very often Answer: Opera

Distinct6
Distinct (%)3.5%
Missing109
Missing (%)38.8%
Infinite0
Infinite (%)0.0%
Mean1.784883721
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2025-03-05T09:46:35.958374image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile4
Maximum6
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.192178942
Coefficient of variation (CV)0.667930873
Kurtosis2.881291054
Mean1.784883721
Median Absolute Deviation (MAD)0
Skewness1.786298907
Sum307
Variance1.42129063
MonotonicityNot monotonic
2025-03-05T09:46:36.198439image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 99
35.2%
2 40
 
14.2%
3 16
 
5.7%
4 9
 
3.2%
6 4
 
1.4%
5 4
 
1.4%
(Missing) 109
38.8%
ValueCountFrequency (%)
1 99
35.2%
2 40
14.2%
3 16
 
5.7%
4 9
 
3.2%
5 4
 
1.4%
ValueCountFrequency (%)
6 4
 
1.4%
5 4
 
1.4%
4 9
 
3.2%
3 16
 
5.7%
2 40
14.2%

G02_6
Real number (ℝ)

Missing 

How often, did you following, view and/or listen to the recordings of: 1. Never, 2., 3., 4., 5., 6. Very often Answer: Musical

Distinct6
Distinct (%)3.5%
Missing109
Missing (%)38.8%
Infinite0
Infinite (%)0.0%
Mean2.848837209
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2025-03-05T09:46:36.430760image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median3
Q34
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.574782576
Coefficient of variation (CV)0.5527808225
Kurtosis-0.8424055859
Mean2.848837209
Median Absolute Deviation (MAD)1
Skewness0.4892109075
Sum490
Variance2.47994016
MonotonicityNot monotonic
2025-03-05T09:46:36.667907image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 44
15.7%
2 38
 
13.5%
3 34
 
12.1%
4 25
 
8.9%
5 18
 
6.4%
6 13
 
4.6%
(Missing) 109
38.8%
ValueCountFrequency (%)
1 44
15.7%
2 38
13.5%
3 34
12.1%
4 25
8.9%
5 18
6.4%
ValueCountFrequency (%)
6 13
 
4.6%
5 18
6.4%
4 25
8.9%
3 34
12.1%
2 38
13.5%

G02_7
Real number (ℝ)

Missing 

How often, did you following, view and/or listen to the recordings of: 1. Never, 2., 3., 4., 5., 6. Very often Answer: Pop or rock

Distinct6
Distinct (%)3.5%
Missing108
Missing (%)38.4%
Infinite0
Infinite (%)0.0%
Mean4.312138728
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2025-03-05T09:46:36.902920image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median5
Q36
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.672528563
Coefficient of variation (CV)0.387865203
Kurtosis-0.9148649553
Mean4.312138728
Median Absolute Deviation (MAD)1
Skewness-0.5881295171
Sum746
Variance2.797351795
MonotonicityNot monotonic
2025-03-05T09:46:37.160259image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
6 63
22.4%
4 30
 
10.7%
5 27
 
9.6%
3 21
 
7.5%
2 18
 
6.4%
1 14
 
5.0%
(Missing) 108
38.4%
ValueCountFrequency (%)
1 14
5.0%
2 18
6.4%
3 21
7.5%
4 30
10.7%
5 27
9.6%
ValueCountFrequency (%)
6 63
22.4%
5 27
9.6%
4 30
10.7%
3 21
 
7.5%
2 18
 
6.4%

G02_8
Real number (ℝ)

Missing 

How often, did you following, view and/or listen to the recordings of: 1. Never, 2., 3., 4., 5., 6. Very often Answer: Jazz or blue

Distinct6
Distinct (%)3.6%
Missing112
Missing (%)39.9%
Infinite0
Infinite (%)0.0%
Mean2.798816568
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2025-03-05T09:46:37.437825image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q34
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.667546964
Coefficient of variation (CV)0.5958043063
Kurtosis-0.771549221
Mean2.798816568
Median Absolute Deviation (MAD)1
Skewness0.6668433826
Sum473
Variance2.780712877
MonotonicityNot monotonic
2025-03-05T09:46:37.711461image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 46
16.4%
2 45
16.0%
3 27
 
9.6%
6 19
 
6.8%
4 18
 
6.4%
5 14
 
5.0%
(Missing) 112
39.9%
ValueCountFrequency (%)
1 46
16.4%
2 45
16.0%
3 27
9.6%
4 18
 
6.4%
5 14
 
5.0%
ValueCountFrequency (%)
6 19
6.8%
5 14
 
5.0%
4 18
 
6.4%
3 27
9.6%
2 45
16.0%

G02_9
Real number (ℝ)

Missing 

How often, did you following, view and/or listen to the recordings of: 1. Never, 2., 3., 4., 5., 6. Very often Answer: Folk music concert

Distinct6
Distinct (%)3.5%
Missing110
Missing (%)39.1%
Infinite0
Infinite (%)0.0%
Mean2.976608187
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2025-03-05T09:46:37.979330image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.608628266
Coefficient of variation (CV)0.5404232485
Kurtosis-1.092589193
Mean2.976608187
Median Absolute Deviation (MAD)1
Skewness0.3730115013
Sum509
Variance2.587684899
MonotonicityNot monotonic
2025-03-05T09:46:38.248028image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2 44
 
15.7%
1 38
 
13.5%
4 27
 
9.6%
5 25
 
8.9%
3 24
 
8.5%
6 13
 
4.6%
(Missing) 110
39.1%
ValueCountFrequency (%)
1 38
13.5%
2 44
15.7%
3 24
8.5%
4 27
9.6%
5 25
8.9%
ValueCountFrequency (%)
6 13
 
4.6%
5 25
8.9%
4 27
9.6%
3 24
8.5%
2 44
15.7%

G02_10
Real number (ℝ)

Missing 

How often, did you following, view and/or listen to the recordings of: 1. Never, 2., 3., 4., 5., 6. Very often Answer: World music

Distinct6
Distinct (%)3.5%
Missing109
Missing (%)38.8%
Infinite0
Infinite (%)0.0%
Mean3.755813953
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2025-03-05T09:46:38.497399image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q35
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.729929495
Coefficient of variation (CV)0.4606004229
Kurtosis-1.35098787
Mean3.755813953
Median Absolute Deviation (MAD)2
Skewness-0.07613058781
Sum646
Variance2.992656059
MonotonicityNot monotonic
2025-03-05T09:46:38.753258image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
6 41
 
14.6%
2 32
 
11.4%
3 31
 
11.0%
5 28
 
10.0%
4 21
 
7.5%
1 19
 
6.8%
(Missing) 109
38.8%
ValueCountFrequency (%)
1 19
6.8%
2 32
11.4%
3 31
11.0%
4 21
7.5%
5 28
10.0%
ValueCountFrequency (%)
6 41
14.6%
5 28
10.0%
4 21
7.5%
3 31
11.0%
2 32
11.4%

G02_11
Real number (ℝ)

Missing 

How often, did you following, view and/or listen to the recordings of: 1. Never, 2., 3., 4., 5., 6. Very often Answer: Urban (rap, hip-hop, trap)

Distinct6
Distinct (%)3.5%
Missing110
Missing (%)39.1%
Infinite0
Infinite (%)0.0%
Mean3.421052632
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2025-03-05T09:46:38.989672image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q35
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.79817589
Coefficient of variation (CV)0.5256206449
Kurtosis-1.328471741
Mean3.421052632
Median Absolute Deviation (MAD)2
Skewness0.1421865196
Sum585
Variance3.233436533
MonotonicityNot monotonic
2025-03-05T09:46:39.243892image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
6 36
 
12.8%
1 33
 
11.7%
3 32
 
11.4%
2 29
 
10.3%
4 23
 
8.2%
5 18
 
6.4%
(Missing) 110
39.1%
ValueCountFrequency (%)
1 33
11.7%
2 29
10.3%
3 32
11.4%
4 23
8.2%
5 18
6.4%
ValueCountFrequency (%)
6 36
12.8%
5 18
6.4%
4 23
8.2%
3 32
11.4%
2 29
10.3%

G02_12
Real number (ℝ)

Missing 

How often, did you following, view and/or listen to the recordings of: 1. Never, 2., 3., 4., 5., 6. Very often Answer: Dance or house

Distinct6
Distinct (%)3.6%
Missing114
Missing (%)40.6%
Infinite0
Infinite (%)0.0%
Mean3.149700599
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2025-03-05T09:46:39.481368image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q35
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.832204356
Coefficient of variation (CV)0.5817074666
Kurtosis-1.255077115
Mean3.149700599
Median Absolute Deviation (MAD)2
Skewness0.3947081061
Sum526
Variance3.356972801
MonotonicityNot monotonic
2025-03-05T09:46:39.720042image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 40
 
14.2%
2 37
 
13.2%
6 33
 
11.7%
3 26
 
9.3%
4 19
 
6.8%
5 12
 
4.3%
(Missing) 114
40.6%
ValueCountFrequency (%)
1 40
14.2%
2 37
13.2%
3 26
9.3%
4 19
6.8%
5 12
 
4.3%
ValueCountFrequency (%)
6 33
11.7%
5 12
 
4.3%
4 19
6.8%
3 26
9.3%
2 37
13.2%

G02_13
Real number (ℝ)

Missing 

How often, did you following, view and/or listen to the recordings of: 1. Never, 2., 3., 4., 5., 6. Very often Answer: Popular national or local music

Distinct6
Distinct (%)3.5%
Missing109
Missing (%)38.8%
Infinite0
Infinite (%)0.0%
Mean3.488372093
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2025-03-05T09:46:39.953461image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q35
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.704786423
Coefficient of variation (CV)0.4887054414
Kurtosis-1.318284428
Mean3.488372093
Median Absolute Deviation (MAD)1
Skewness0.05951445807
Sum600
Variance2.90629675
MonotonicityNot monotonic
2025-03-05T09:46:40.201169image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2 36
 
12.8%
5 32
 
11.4%
3 29
 
10.3%
6 28
 
10.0%
1 25
 
8.9%
4 22
 
7.8%
(Missing) 109
38.8%
ValueCountFrequency (%)
1 25
8.9%
2 36
12.8%
3 29
10.3%
4 22
7.8%
5 32
11.4%
ValueCountFrequency (%)
6 28
10.0%
5 32
11.4%
4 22
7.8%
3 29
10.3%
2 36
12.8%

G02_14
Real number (ℝ)

Missing 

How often, did you following, view and/or listen to the recordings of: 1. Never, 2., 3., 4., 5., 6. Very often Answer: A singer/songwriter

Distinct6
Distinct (%)3.5%
Missing109
Missing (%)38.8%
Infinite0
Infinite (%)0.0%
Mean4.215116279
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2025-03-05T09:46:40.436545image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median4.5
Q36
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.70832276
Coefficient of variation (CV)0.4052848479
Kurtosis-1.060186317
Mean4.215116279
Median Absolute Deviation (MAD)1.5
Skewness-0.5112302849
Sum725
Variance2.918366653
MonotonicityNot monotonic
2025-03-05T09:46:40.674346image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
6 59
21.0%
4 31
 
11.0%
5 27
 
9.6%
2 23
 
8.2%
3 17
 
6.0%
1 15
 
5.3%
(Missing) 109
38.8%
ValueCountFrequency (%)
1 15
5.3%
2 23
8.2%
3 17
6.0%
4 31
11.0%
5 27
9.6%
ValueCountFrequency (%)
6 59
21.0%
5 27
9.6%
4 31
11.0%
3 17
 
6.0%
2 23
 
8.2%

G02_15
Real number (ℝ)

Missing 

How often, did you following, view and/or listen to the recordings of: 1. Never, 2., 3., 4., 5., 6. Very often Answer: Other music

Distinct6
Distinct (%)3.6%
Missing113
Missing (%)40.2%
Infinite0
Infinite (%)0.0%
Mean4.19047619
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2025-03-05T09:46:40.906536image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median5
Q36
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.747375726
Coefficient of variation (CV)0.4169873891
Kurtosis-1.073338519
Mean4.19047619
Median Absolute Deviation (MAD)1
Skewness-0.5412784859
Sum704
Variance3.053321928
MonotonicityNot monotonic
2025-03-05T09:46:41.156074image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
6 56
19.9%
5 32
 
11.4%
4 24
 
8.5%
2 20
 
7.1%
3 18
 
6.4%
1 18
 
6.4%
(Missing) 113
40.2%
ValueCountFrequency (%)
1 18
6.4%
2 20
7.1%
3 18
6.4%
4 24
8.5%
5 32
11.4%
ValueCountFrequency (%)
6 56
19.9%
5 32
11.4%
4 24
8.5%
3 18
 
6.4%
2 20
 
7.1%

G02_16
Real number (ℝ)

Missing 

How often, did you following, view and/or listen to the recordings of: 1. Never, 2., 3., 4., 5., 6. Very often Answer: A sport event

Distinct6
Distinct (%)3.5%
Missing108
Missing (%)38.4%
Infinite0
Infinite (%)0.0%
Mean3.479768786
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2025-03-05T09:46:41.387742image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q36
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)4

Descriptive statistics

Standard deviation1.8445066
Coefficient of variation (CV)0.5300658502
Kurtosis-1.412541524
Mean3.479768786
Median Absolute Deviation (MAD)1
Skewness0.1590073047
Sum602
Variance3.402204597
MonotonicityNot monotonic
2025-03-05T09:46:41.626418image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
6 44
15.7%
2 37
 
13.2%
1 30
 
10.7%
3 26
 
9.3%
4 24
 
8.5%
5 12
 
4.3%
(Missing) 108
38.4%
ValueCountFrequency (%)
1 30
10.7%
2 37
13.2%
3 26
9.3%
4 24
8.5%
5 12
 
4.3%
ValueCountFrequency (%)
6 44
15.7%
5 12
 
4.3%
4 24
8.5%
3 26
9.3%
2 37
13.2%

G01_1
Real number (ℝ)

Missing 

Have you done any of the following activities in the last year or so? (1) YES (2) NO Answer: Acted in a theatre play

Distinct2
Distinct (%)1.2%
Missing109
Missing (%)38.8%
Infinite0
Infinite (%)0.0%
Mean1.918604651
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2025-03-05T09:46:42.122316image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2742396732
Coefficient of variation (CV)0.1429370418
Kurtosis7.628978914
Mean1.918604651
Median Absolute Deviation (MAD)0
Skewness-3.088753767
Sum330
Variance0.07520739834
MonotonicityNot monotonic
2025-03-05T09:46:42.363590image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 158
56.2%
1 14
 
5.0%
(Missing) 109
38.8%
ValueCountFrequency (%)
1 14
 
5.0%
2 158
56.2%
ValueCountFrequency (%)
2 158
56.2%
1 14
 
5.0%

G01_2
Real number (ℝ)

Missing 

Have you done any of the following activities in the last year or so? (1) YES (2) NO Answer: Directed a theatre play

Distinct2
Distinct (%)1.2%
Missing109
Missing (%)38.8%
Infinite0
Infinite (%)0.0%
Mean1.994186047
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2025-03-05T09:46:42.599299image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07624928517
Coefficient of variation (CV)0.03823579314
Kurtosis172
Mean1.994186047
Median Absolute Deviation (MAD)0
Skewness-13.11487705
Sum343
Variance0.005813953488
MonotonicityNot monotonic
2025-03-05T09:46:42.843517image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 171
60.9%
1 1
 
0.4%
(Missing) 109
38.8%
ValueCountFrequency (%)
1 1
 
0.4%
2 171
60.9%
ValueCountFrequency (%)
2 171
60.9%
1 1
 
0.4%

G01_3
Real number (ℝ)

Missing 

Have you done any of the following activities in the last year or so? (1) YES (2) NO Answer: Performed as a stand-up comedian

Distinct2
Distinct (%)1.2%
Missing109
Missing (%)38.8%
Infinite0
Infinite (%)0.0%
Mean1.988372093
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2025-03-05T09:46:43.083196image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1075170104
Coefficient of variation (CV)0.05407288241
Kurtosis83.45273356
Mean1.988372093
Median Absolute Deviation (MAD)0
Skewness-9.191432041
Sum342
Variance0.01155990752
MonotonicityNot monotonic
2025-03-05T09:46:43.334910image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 170
60.5%
1 2
 
0.7%
(Missing) 109
38.8%
ValueCountFrequency (%)
1 2
 
0.7%
2 170
60.5%
ValueCountFrequency (%)
2 170
60.5%
1 2
 
0.7%

G01_4
Real number (ℝ)

Missing 

Have you done any of the following activities in the last year or so? (1) YES (2) NO Answer: Sung in a choir, a vocal ensemble, opera/operetta/musical troupe, pop-rock jazz, folk band, rapped

Distinct2
Distinct (%)1.2%
Missing109
Missing (%)38.8%
Infinite0
Infinite (%)0.0%
Mean1.843023256
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2025-03-05T09:46:43.578819image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3648409724
Coefficient of variation (CV)0.1979578778
Kurtosis1.638504187
Mean1.843023256
Median Absolute Deviation (MAD)0
Skewness-1.902521097
Sum317
Variance0.1331089351
MonotonicityNot monotonic
2025-03-05T09:46:43.827099image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 145
51.6%
1 27
 
9.6%
(Missing) 109
38.8%
ValueCountFrequency (%)
1 27
 
9.6%
2 145
51.6%
ValueCountFrequency (%)
2 145
51.6%
1 27
 
9.6%

G01_5
Real number (ℝ)

Missing 

Have you done any of the following activities in the last year or so? (1) YES (2) NO Answer: Played a musical instrument

Distinct2
Distinct (%)1.2%
Missing110
Missing (%)39.1%
Infinite0
Infinite (%)0.0%
Mean1.701754386
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2025-03-05T09:46:44.074868image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4588314677
Coefficient of variation (CV)0.2696226151
Kurtosis-1.222633136
Mean1.701754386
Median Absolute Deviation (MAD)0
Skewness-0.8898343997
Sum291
Variance0.2105263158
MonotonicityNot monotonic
2025-03-05T09:46:44.332068image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 120
42.7%
1 51
18.1%
(Missing) 110
39.1%
ValueCountFrequency (%)
1 51
18.1%
2 120
42.7%
ValueCountFrequency (%)
2 120
42.7%
1 51
18.1%

G01_6
Real number (ℝ)

Missing 

Have you done any of the following activities in the last year or so? (1) YES (2) NO Answer: Played a musical instrument in an orchestra or pop/rock/jazz/folk band

Distinct2
Distinct (%)1.2%
Missing109
Missing (%)38.8%
Infinite0
Infinite (%)0.0%
Mean1.918604651
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2025-03-05T09:46:44.603840image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2742396732
Coefficient of variation (CV)0.1429370418
Kurtosis7.628978914
Mean1.918604651
Median Absolute Deviation (MAD)0
Skewness-3.088753767
Sum330
Variance0.07520739834
MonotonicityNot monotonic
2025-03-05T09:46:44.970854image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 158
56.2%
1 14
 
5.0%
(Missing) 109
38.8%
ValueCountFrequency (%)
1 14
 
5.0%
2 158
56.2%
ValueCountFrequency (%)
2 158
56.2%
1 14
 
5.0%

G01_7
Real number (ℝ)

Missing 

Have you done any of the following activities in the last year or so? (1) YES (2) NO Answer: Composed music or performed as DJ

Distinct2
Distinct (%)1.2%
Missing110
Missing (%)39.1%
Infinite0
Infinite (%)0.0%
Mean1.906432749
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2025-03-05T09:46:45.320718image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2920810119
Coefficient of variation (CV)0.1532081381
Kurtosis5.999606318
Mean1.906432749
Median Absolute Deviation (MAD)0
Skewness-2.81594891
Sum326
Variance0.08531131751
MonotonicityNot monotonic
2025-03-05T09:46:45.665142image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 155
55.2%
1 16
 
5.7%
(Missing) 110
39.1%
ValueCountFrequency (%)
1 16
 
5.7%
2 155
55.2%
ValueCountFrequency (%)
2 155
55.2%
1 16
 
5.7%

G01_8
Real number (ℝ)

Missing 

Have you done any of the following activities in the last year or so? (1) YES (2) NO Answer: Danced (ballet or modern dance, ballroom dance, Latin American dance, jazz dance, hip hop, break dance, street dance, folk dance),

Distinct2
Distinct (%)1.2%
Missing109
Missing (%)38.8%
Infinite0
Infinite (%)0.0%
Mean1.720930233
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2025-03-05T09:46:45.989419image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.44985151
Coefficient of variation (CV)0.2614002018
Kurtosis-1.024426249
Mean1.720930233
Median Absolute Deviation (MAD)0
Skewness-0.9937919815
Sum296
Variance0.2023663811
MonotonicityNot monotonic
2025-03-05T09:46:46.270567image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 124
44.1%
1 48
 
17.1%
(Missing) 109
38.8%
ValueCountFrequency (%)
1 48
 
17.1%
2 124
44.1%
ValueCountFrequency (%)
2 124
44.1%
1 48
 
17.1%

G01_9
Real number (ℝ)

Missing 

Have you done any of the following activities in the last year or so? (1) YES (2) NO Answer: Did choreography for a dance performance

Distinct2
Distinct (%)1.2%
Missing109
Missing (%)38.8%
Infinite0
Infinite (%)0.0%
Mean1.860465116
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2025-03-05T09:46:46.512705image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.347515516
Coefficient of variation (CV)0.1867895899
Kurtosis2.433684067
Mean1.860465116
Median Absolute Deviation (MAD)0
Skewness-2.098932943
Sum320
Variance0.1207670339
MonotonicityNot monotonic
2025-03-05T09:46:46.763003image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 148
52.7%
1 24
 
8.5%
(Missing) 109
38.8%
ValueCountFrequency (%)
1 24
 
8.5%
2 148
52.7%
ValueCountFrequency (%)
2 148
52.7%
1 24
 
8.5%

T01_1
Real number (ℝ)

Missing 

Do you have a car driver’s license? Answer: 1. Yes, 2. No

Distinct2
Distinct (%)1.3%
Missing127
Missing (%)45.2%
Infinite0
Infinite (%)0.0%
Mean1.318181818
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2025-03-05T09:46:47.004805image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4672901361
Coefficient of variation (CV)0.3544959653
Kurtosis-1.39670368
Mean1.318181818
Median Absolute Deviation (MAD)0
Skewness0.7884203499
Sum203
Variance0.2183600713
MonotonicityNot monotonic
2025-03-05T09:46:47.247027image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 105
37.4%
2 49
 
17.4%
(Missing) 127
45.2%
ValueCountFrequency (%)
1 105
37.4%
2 49
17.4%
ValueCountFrequency (%)
2 49
17.4%
1 105
37.4%

T01_2
Real number (ℝ)

Missing 

Do you have a motorbike driver’s license? Answer: 1. Yes, 2. No

Distinct2
Distinct (%)1.3%
Missing131
Missing (%)46.6%
Infinite0
Infinite (%)0.0%
Mean1.886666667
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2025-03-05T09:46:47.482324image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3180618037
Coefficient of variation (CV)0.1685839949
Kurtosis4.127385561
Mean1.886666667
Median Absolute Deviation (MAD)0
Skewness-2.46424995
Sum283
Variance0.101163311
MonotonicityNot monotonic
2025-03-05T09:46:47.726742image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 133
47.3%
1 17
 
6.0%
(Missing) 131
46.6%
ValueCountFrequency (%)
1 17
 
6.0%
2 133
47.3%
ValueCountFrequency (%)
2 133
47.3%
1 17
 
6.0%

T01_3
Real number (ℝ)

Missing 

Do you have a bike of your own? Answer: 1. Yes, 2. No

Distinct2
Distinct (%)1.3%
Missing129
Missing (%)45.9%
Infinite0
Infinite (%)0.0%
Mean1.598684211
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2025-03-05T09:46:47.967964image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4917850769
Coefficient of variation (CV)0.3076186489
Kurtosis-1.859250223
Mean1.598684211
Median Absolute Deviation (MAD)0
Skewness-0.4066817181
Sum243
Variance0.2418525619
MonotonicityNot monotonic
2025-03-05T09:46:48.210499image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 91
32.4%
1 61
21.7%
(Missing) 129
45.9%
ValueCountFrequency (%)
1 61
21.7%
2 91
32.4%
ValueCountFrequency (%)
2 91
32.4%
1 61
21.7%

T01_4
Real number (ℝ)

Missing 

Do you have a car of your own? Answer: 1. Yes, 2. No

Distinct2
Distinct (%)1.3%
Missing130
Missing (%)46.3%
Infinite0
Infinite (%)0.0%
Mean1.589403974
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2025-03-05T09:46:48.445289image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4935790808
Coefficient of variation (CV)0.310543505
Kurtosis-1.89043269
Mean1.589403974
Median Absolute Deviation (MAD)0
Skewness-0.367130741
Sum240
Variance0.2436203091
MonotonicityNot monotonic
2025-03-05T09:46:48.682169image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 89
31.7%
1 62
22.1%
(Missing) 130
46.3%
ValueCountFrequency (%)
1 62
22.1%
2 89
31.7%
ValueCountFrequency (%)
2 89
31.7%
1 62
22.1%

T01_5
Real number (ℝ)

Missing 

Do you have a motorbike of your own? Answer: 1. Yes, 2. No

Distinct2
Distinct (%)1.3%
Missing130
Missing (%)46.3%
Infinite0
Infinite (%)0.0%
Mean1.887417219
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2025-03-05T09:46:48.915478image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3171339645
Coefficient of variation (CV)0.1680253636
Kurtosis4.186023235
Mean1.887417219
Median Absolute Deviation (MAD)0
Skewness-2.476035327
Sum285
Variance0.1005739514
MonotonicityNot monotonic
2025-03-05T09:46:49.166725image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 134
47.7%
1 17
 
6.0%
(Missing) 130
46.3%
ValueCountFrequency (%)
1 17
 
6.0%
2 134
47.7%
ValueCountFrequency (%)
2 134
47.7%
1 17
 
6.0%

T01_6
Real number (ℝ)

Missing 

Do you have access to a car whenever you want? Answer: 1. Yes, 2. No

Distinct2
Distinct (%)1.3%
Missing127
Missing (%)45.2%
Infinite0
Infinite (%)0.0%
Mean1.272727273
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2025-03-05T09:46:49.409251image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4468148316
Coefficient of variation (CV)0.3510687963
Kurtosis-0.9501949721
Mean1.272727273
Median Absolute Deviation (MAD)0
Skewness1.030687173
Sum196
Variance0.1996434938
MonotonicityNot monotonic
2025-03-05T09:46:49.655211image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 112
39.9%
2 42
 
14.9%
(Missing) 127
45.2%
ValueCountFrequency (%)
1 112
39.9%
2 42
 
14.9%
ValueCountFrequency (%)
2 42
 
14.9%
1 112
39.9%

T01_7
Real number (ℝ)

Missing 

Do you have access to a motorbike whenever you want? Answer: 1. Yes, 2. No

Distinct2
Distinct (%)1.3%
Missing131
Missing (%)46.6%
Infinite0
Infinite (%)0.0%
Mean1.8
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2025-03-05T09:46:49.891238image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4013400373
Coefficient of variation (CV)0.2229666874
Kurtosis0.2996299871
Mean1.8
Median Absolute Deviation (MAD)0
Skewness-1.515194228
Sum270
Variance0.1610738255
MonotonicityNot monotonic
2025-03-05T09:46:50.138046image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 120
42.7%
1 30
 
10.7%
(Missing) 131
46.6%
ValueCountFrequency (%)
1 30
 
10.7%
2 120
42.7%
ValueCountFrequency (%)
2 120
42.7%
1 30
 
10.7%

T02_1
Boolean

Missing 

What is the main method that you use for getting about in your daily life? (Multiple choice) Answer: Walking

Distinct2
Distinct (%)1.3%
Missing123
Missing (%)43.8%
Memory size694.0 B
False
93 
True
65 
(Missing)
123 
ValueCountFrequency (%)
False 93
33.1%
True 65
23.1%
(Missing) 123
43.8%
2025-03-05T09:46:50.414895image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

T02_2
Boolean

Imbalance  Missing 

What is the main method that you use for getting about in your daily life? (Multiple choice) Answer: Cycling

Distinct2
Distinct (%)1.3%
Missing123
Missing (%)43.8%
Memory size694.0 B
False
144 
True
 
14
(Missing)
123 
ValueCountFrequency (%)
False 144
51.2%
True 14
 
5.0%
(Missing) 123
43.8%
2025-03-05T09:46:50.649073image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

T02_3
Boolean

Missing 

What is the main method that you use for getting about in your daily life? (Multiple choice) Answer: Car (Filter: go to question

Distinct2
Distinct (%)1.3%
Missing123
Missing (%)43.8%
Memory size694.0 B
False
83 
True
75 
(Missing)
123 
ValueCountFrequency (%)
False 83
29.5%
True 75
26.7%
(Missing) 123
43.8%
2025-03-05T09:46:50.878553image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

T02_4
Boolean

Missing 

What is the main method that you use for getting about in your daily life? (Multiple choice) Answer: Car-sharing (with friends/relative etc.)

Distinct2
Distinct (%)1.3%
Missing123
Missing (%)43.8%
Memory size694.0 B
False
95 
True
63 
(Missing)
123 
ValueCountFrequency (%)
False 95
33.8%
True 63
22.4%
(Missing) 123
43.8%
2025-03-05T09:46:51.106358image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

T02_5
Boolean

Imbalance  Missing 

What is the main method that you use for getting about in your daily life? (Multiple choice) Answer: Motorbike

Distinct2
Distinct (%)1.3%
Missing123
Missing (%)43.8%
Memory size694.0 B
False
144 
True
 
14
(Missing)
123 
ValueCountFrequency (%)
False 144
51.2%
True 14
 
5.0%
(Missing) 123
43.8%
2025-03-05T09:46:51.322395image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

T02_6
Boolean

Missing 

What is the main method that you use for getting about in your daily life? (Multiple choice) Answer: City bus/suburban bus/Tube (Public Transport)

Distinct2
Distinct (%)1.3%
Missing123
Missing (%)43.8%
Memory size694.0 B
False
95 
True
63 
(Missing)
123 
ValueCountFrequency (%)
False 95
33.8%
True 63
22.4%
(Missing) 123
43.8%
2025-03-05T09:46:51.547432image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

T02_7
Boolean

Constant  Missing 

What is the main method that you use for getting about in your daily life? (Multiple choice) Answer: Train

Distinct1
Distinct (%)0.6%
Missing123
Missing (%)43.8%
Memory size694.0 B
False
158 
(Missing)
123 
ValueCountFrequency (%)
False 158
56.2%
(Missing) 123
43.8%
2025-03-05T09:46:51.756284image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

T02_8
Boolean

Constant  Missing 

What is the main method that you use for getting about in your daily life? (Multiple choice) Answer: Electric scooters

Distinct1
Distinct (%)0.6%
Missing123
Missing (%)43.8%
Memory size694.0 B
False
158 
(Missing)
123 
ValueCountFrequency (%)
False 158
56.2%
(Missing) 123
43.8%
2025-03-05T09:46:51.949696image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

C01
Real number (ℝ)

Missing 

Would you say you know how to cook? Answer: 1.Yes, I know how to cook., 2.Yes, but only basic things., 3.No, I do not know how to cook.

Distinct3
Distinct (%)2.0%
Missing128
Missing (%)45.6%
Infinite0
Infinite (%)0.0%
Mean1.647058824
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2025-03-05T09:46:52.143644image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.6331893813
Coefficient of variation (CV)0.3844364101
Kurtosis-0.6573603228
Mean1.647058824
Median Absolute Deviation (MAD)1
Skewness0.4530273875
Sum252
Variance0.4009287926
MonotonicityNot monotonic
2025-03-05T09:46:52.407291image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
2 73
26.0%
1 67
23.8%
3 13
 
4.6%
(Missing) 128
45.6%
ValueCountFrequency (%)
1 67
23.8%
2 73
26.0%
3 13
 
4.6%
ValueCountFrequency (%)
3 13
 
4.6%
2 73
26.0%
1 67
23.8%

C04
Real number (ℝ)

Missing 

C04. How often do you cook a main meal? Answer: 1.Daily, 2Several times a week 3.Once a week 4.Less than once a week 5.Neve

Distinct5
Distinct (%)3.3%
Missing128
Missing (%)45.6%
Infinite0
Infinite (%)0.0%
Mean2.928104575
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2025-03-05T09:46:52.674259image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.251864794
Coefficient of variation (CV)0.4275341819
Kurtosis-1.092861835
Mean2.928104575
Median Absolute Deviation (MAD)1
Skewness-0.06647705191
Sum448
Variance1.567165463
MonotonicityNot monotonic
2025-03-05T09:46:52.923865image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 44
 
15.7%
2 35
 
12.5%
3 34
 
12.1%
1 25
 
8.9%
5 15
 
5.3%
(Missing) 128
45.6%
ValueCountFrequency (%)
1 25
8.9%
2 35
12.5%
3 34
12.1%
4 44
15.7%
5 15
 
5.3%
ValueCountFrequency (%)
5 15
 
5.3%
4 44
15.7%
3 34
12.1%
2 35
12.5%
1 25
8.9%

C07_1
Boolean

Missing 

Let us talk about your diet. Which of the following applies to you? (Multiple choice) Answer: I don’t follow a specific diet

Distinct2
Distinct (%)1.3%
Missing126
Missing (%)44.8%
Memory size694.0 B
True
85 
False
70 
(Missing)
126 
ValueCountFrequency (%)
True 85
30.2%
False 70
24.9%
(Missing) 126
44.8%
2025-03-05T09:46:53.201817image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

C07_2
Boolean

Imbalance  Missing 

Let us talk about your diet. Which of the following applies to you? (Multiple choice) Answer: I follow a vegetarian or vegan diet

Distinct2
Distinct (%)1.3%
Missing126
Missing (%)44.8%
Memory size694.0 B
False
149 
True
 
6
(Missing)
126 
ValueCountFrequency (%)
False 149
53.0%
True 6
 
2.1%
(Missing) 126
44.8%
2025-03-05T09:46:53.421497image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

C07_3
Boolean

Imbalance  Missing 

Let us talk about your diet. Which of the following applies to you? (Multiple choice) Answer: I avoid certain foods for religious or cultural reasons

Distinct2
Distinct (%)1.3%
Missing126
Missing (%)44.8%
Memory size694.0 B
False
152 
True
 
3
(Missing)
126 
ValueCountFrequency (%)
False 152
54.1%
True 3
 
1.1%
(Missing) 126
44.8%
2025-03-05T09:46:53.641041image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

C07_4
Boolean

Missing 

Let us talk about your diet. Which of the following applies to you? (Multiple choice) Answer: I avoid or limit my intake of certain foods due to health problems (allergies, gluten intolerance, ...)

Distinct2
Distinct (%)1.3%
Missing126
Missing (%)44.8%
Memory size694.0 B
False
129 
True
26 
(Missing)
126 
ValueCountFrequency (%)
False 129
45.9%
True 26
 
9.3%
(Missing) 126
44.8%
2025-03-05T09:46:53.861309image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

C07_5
Boolean

Missing 

Let us talk about your diet. Which of the following applies to you? (Multiple choice) Answer: I have no health issues but follow a health-food diet rigidly

Distinct2
Distinct (%)1.3%
Missing126
Missing (%)44.8%
Memory size694.0 B
False
130 
True
25 
(Missing)
126 
ValueCountFrequency (%)
False 130
46.3%
True 25
 
8.9%
(Missing) 126
44.8%
2025-03-05T09:46:54.086081image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

C07_6
Boolean

Missing 

Let us talk about your diet. Which of the following applies to you? (Multiple choice) Answer: I limit consumption of certain foods to lose/maintain weight

Distinct2
Distinct (%)1.3%
Missing126
Missing (%)44.8%
Memory size694.0 B
False
95 
True
60 
(Missing)
126 
ValueCountFrequency (%)
False 95
33.8%
True 60
21.4%
(Missing) 126
44.8%
2025-03-05T09:46:54.309158image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

C07_7
Boolean

Missing 

Let us talk about your diet. Which of the following applies to you? (Multiple choice) Answer: I like to try new foods and tastes.

Distinct2
Distinct (%)1.3%
Missing126
Missing (%)44.8%
Memory size694.0 B
False
99 
True
56 
(Missing)
126 
ValueCountFrequency (%)
False 99
35.2%
True 56
19.9%
(Missing) 126
44.8%
2025-03-05T09:46:54.537659image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

C08
Real number (ℝ)

Missing 

Which of the following statements best describes you? Answer: 1.For me, eating is a pleasure, 2.Eating for me is just a way not to feel hungry.

Distinct2
Distinct (%)1.3%
Missing129
Missing (%)45.9%
Infinite0
Infinite (%)0.0%
Mean1.210526316
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2025-03-05T09:46:54.754057image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4090301718
Coefficient of variation (CV)0.3378944897
Kurtosis0.05776510067
Mean1.210526316
Median Absolute Deviation (MAD)0
Skewness1.434287021
Sum184
Variance0.1673056814
MonotonicityNot monotonic
2025-03-05T09:46:55.007208image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 120
42.7%
2 32
 
11.4%
(Missing) 129
45.9%
ValueCountFrequency (%)
1 120
42.7%
2 32
 
11.4%
ValueCountFrequency (%)
2 32
 
11.4%
1 120
42.7%

C10_1
Real number (ℝ)

Missing 

Last month, how often did you buy the types of food products and supplements: 1. Never, 2. Rarely, 3. Often, 4. Always Answer: Organic

Distinct4
Distinct (%)2.9%
Missing142
Missing (%)50.5%
Infinite0
Infinite (%)0.0%
Mean2.496402878
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2025-03-05T09:46:55.229983image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile4
Maximum4
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8877107892
Coefficient of variation (CV)0.3555959645
Kurtosis-0.7061963328
Mean2.496402878
Median Absolute Deviation (MAD)1
Skewness-0.02050966081
Sum347
Variance0.7880304452
MonotonicityNot monotonic
2025-03-05T09:46:55.462659image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
3 52
 
18.5%
2 50
 
17.8%
1 19
 
6.8%
4 18
 
6.4%
(Missing) 142
50.5%
ValueCountFrequency (%)
1 19
 
6.8%
2 50
17.8%
3 52
18.5%
4 18
 
6.4%
ValueCountFrequency (%)
4 18
 
6.4%
3 52
18.5%
2 50
17.8%
1 19
 
6.8%

C10_2
Real number (ℝ)

Missing 

Last month, how often did you buy the types of food products and supplements: 1. Never, 2. Rarely, 3. Often, 4. Always Answer: Zero-mile

Distinct4
Distinct (%)2.7%
Missing133
Missing (%)47.3%
Infinite0
Infinite (%)0.0%
Mean1.966216216
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2025-03-05T09:46:55.688868image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile3
Maximum4
Range3
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.8524916704
Coefficient of variation (CV)0.4335696468
Kurtosis-0.5945731343
Mean1.966216216
Median Absolute Deviation (MAD)1
Skewness0.465631104
Sum291
Variance0.7267420482
MonotonicityNot monotonic
2025-03-05T09:46:55.921421image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 59
21.0%
1 50
 
17.8%
3 33
 
11.7%
4 6
 
2.1%
(Missing) 133
47.3%
ValueCountFrequency (%)
1 50
17.8%
2 59
21.0%
3 33
11.7%
4 6
 
2.1%
ValueCountFrequency (%)
4 6
 
2.1%
3 33
11.7%
2 59
21.0%
1 50
17.8%

C10_3
Real number (ℝ)

Missing 

Last month, how often did you buy the types of food products and supplements: 1. Never, 2. Rarely, 3. Often, 4. Always Answer: Weight-loss pills, teas and products - slim fast, weight watchers, meal replacements

Distinct4
Distinct (%)2.7%
Missing132
Missing (%)47.0%
Infinite0
Infinite (%)0.0%
Mean1.288590604
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2025-03-05T09:46:56.154953image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile3
Maximum4
Range3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6398405842
Coefficient of variation (CV)0.4965429533
Kurtosis4.956505733
Mean1.288590604
Median Absolute Deviation (MAD)0
Skewness2.325905945
Sum192
Variance0.4093959732
MonotonicityNot monotonic
2025-03-05T09:46:56.649806image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 119
42.3%
2 19
 
6.8%
3 9
 
3.2%
4 2
 
0.7%
(Missing) 132
47.0%
ValueCountFrequency (%)
1 119
42.3%
2 19
 
6.8%
3 9
 
3.2%
4 2
 
0.7%
ValueCountFrequency (%)
4 2
 
0.7%
3 9
 
3.2%
2 19
 
6.8%
1 119
42.3%

C10_4
Real number (ℝ)

Missing 

Last month, how often did you buy the types of food products and supplements: 1. Never, 2. Rarely, 3. Often, 4. Always Answer: Dietary supplements - vitamins, iron, potassium...

Distinct4
Distinct (%)2.7%
Missing132
Missing (%)47.0%
Infinite0
Infinite (%)0.0%
Mean1.959731544
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2025-03-05T09:46:56.881484image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile3.6
Maximum4
Range3
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.9218019562
Coefficient of variation (CV)0.4703715461
Kurtosis-0.8204643436
Mean1.959731544
Median Absolute Deviation (MAD)1
Skewness0.5001562404
Sum292
Variance0.8497188464
MonotonicityNot monotonic
2025-03-05T09:46:57.116233image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 58
20.6%
2 47
 
16.7%
3 36
 
12.8%
4 8
 
2.8%
(Missing) 132
47.0%
ValueCountFrequency (%)
1 58
20.6%
2 47
16.7%
3 36
12.8%
4 8
 
2.8%
ValueCountFrequency (%)
4 8
 
2.8%
3 36
12.8%
2 47
16.7%
1 58
20.6%

C10_5
Real number (ℝ)

Missing 

Last month, how often did you buy the types of food products and supplements: 1. Never, 2. Rarely, 3. Often, 4. Always Answer: Frozen items

Distinct4
Distinct (%)2.7%
Missing132
Missing (%)47.0%
Infinite0
Infinite (%)0.0%
Mean2.590604027
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2025-03-05T09:46:57.344889image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile4
Maximum4
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9516232421
Coefficient of variation (CV)0.3673364328
Kurtosis-0.8427162376
Mean2.590604027
Median Absolute Deviation (MAD)1
Skewness-0.2397336168
Sum386
Variance0.9055867948
MonotonicityNot monotonic
2025-03-05T09:46:57.579689image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
3 62
22.1%
2 38
 
13.5%
4 25
 
8.9%
1 24
 
8.5%
(Missing) 132
47.0%
ValueCountFrequency (%)
1 24
 
8.5%
2 38
13.5%
3 62
22.1%
4 25
8.9%
ValueCountFrequency (%)
4 25
8.9%
3 62
22.1%
2 38
13.5%
1 24
 
8.5%

C10_6
Real number (ℝ)

Missing 

Last month, how often did you buy the types of food products and supplements: 1. Never, 2. Rarely, 3. Often, 4. Always Answer: Allergen-free products - gluten free, lactose free

Distinct4
Distinct (%)2.7%
Missing133
Missing (%)47.3%
Infinite0
Infinite (%)0.0%
Mean1.993243243
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2025-03-05T09:46:57.810734image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile4
Maximum4
Range3
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.020181534
Coefficient of variation (CV)0.5118198882
Kurtosis-0.6290790325
Mean1.993243243
Median Absolute Deviation (MAD)1
Skewness0.7150747443
Sum295
Variance1.040770362
MonotonicityNot monotonic
2025-03-05T09:46:58.043992image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 59
21.0%
2 49
 
17.4%
3 22
 
7.8%
4 18
 
6.4%
(Missing) 133
47.3%
ValueCountFrequency (%)
1 59
21.0%
2 49
17.4%
3 22
 
7.8%
4 18
 
6.4%
ValueCountFrequency (%)
4 18
 
6.4%
3 22
 
7.8%
2 49
17.4%
1 59
21.0%

C10_7
Real number (ℝ)

Missing 

Last month, how often did you buy the types of food products and supplements: 1. Never, 2. Rarely, 3. Often, 4. Always Answer: Ready meals - to be just heated or defrosted in microwave/oven

Distinct4
Distinct (%)2.7%
Missing132
Missing (%)47.0%
Infinite0
Infinite (%)0.0%
Mean2.067114094
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2025-03-05T09:46:58.272785image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile4
Maximum4
Range3
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.9977300556
Coefficient of variation (CV)0.4826681113
Kurtosis-0.8213087317
Mean2.067114094
Median Absolute Deviation (MAD)1
Skewness0.526070318
Sum308
Variance0.9954652639
MonotonicityNot monotonic
2025-03-05T09:46:58.502652image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 53
18.9%
2 49
 
17.4%
3 31
 
11.0%
4 16
 
5.7%
(Missing) 132
47.0%
ValueCountFrequency (%)
1 53
18.9%
2 49
17.4%
3 31
11.0%
4 16
 
5.7%
ValueCountFrequency (%)
4 16
 
5.7%
3 31
11.0%
2 49
17.4%
1 53
18.9%

C12_1
Real number (ℝ)

Missing 

How often did you shop at the following super/markets last month? 1. Never, 2. Rarely, 3. Often, 4. Always, 5. No nearby shops Answer: Specialised food shops (fishery, butchery, bakery, fruit and vegetable shops)

Distinct5
Distinct (%)3.4%
Missing132
Missing (%)47.0%
Infinite0
Infinite (%)0.0%
Mean2.590604027
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2025-03-05T09:46:58.756297image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.052753294
Coefficient of variation (CV)0.4063736808
Kurtosis-0.6855966147
Mean2.590604027
Median Absolute Deviation (MAD)1
Skewness0.0392088669
Sum386
Variance1.108289498
MonotonicityNot monotonic
2025-03-05T09:46:59.016114image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 56
19.9%
2 37
 
13.2%
1 28
 
10.0%
4 24
 
8.5%
5 4
 
1.4%
(Missing) 132
47.0%
ValueCountFrequency (%)
1 28
10.0%
2 37
13.2%
3 56
19.9%
4 24
8.5%
5 4
 
1.4%
ValueCountFrequency (%)
5 4
 
1.4%
4 24
8.5%
3 56
19.9%
2 37
13.2%
1 28
10.0%

C12_2
Real number (ℝ)

Missing 

How often did you shop at the following super/markets last month? 1. Never, 2. Rarely, 3. Often, 4. Always, 5. No nearby shops Answer: Organic Shops

Distinct5
Distinct (%)3.4%
Missing132
Missing (%)47.0%
Infinite0
Infinite (%)0.0%
Mean2.208053691
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2025-03-05T09:46:59.273061image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.415527634
Coefficient of variation (CV)0.6410748253
Kurtosis-0.4387853476
Mean2.208053691
Median Absolute Deviation (MAD)1
Skewness0.9430684184
Sum329
Variance2.003718484
MonotonicityNot monotonic
2025-03-05T09:46:59.537417image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 66
23.5%
2 35
 
12.5%
5 21
 
7.5%
3 20
 
7.1%
4 7
 
2.5%
(Missing) 132
47.0%
ValueCountFrequency (%)
1 66
23.5%
2 35
12.5%
3 20
 
7.1%
4 7
 
2.5%
5 21
 
7.5%
ValueCountFrequency (%)
5 21
 
7.5%
4 7
 
2.5%
3 20
 
7.1%
2 35
12.5%
1 66
23.5%

C12_3
Real number (ℝ)

Missing 

How often did you shop at the following super/markets last month? 1. Never, 2. Rarely, 3. Often, 4. Always, 5. No nearby shops Answer: Supermarkets

Distinct5
Distinct (%)3.4%
Missing133
Missing (%)47.3%
Infinite0
Infinite (%)0.0%
Mean3.777027027
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2025-03-05T09:46:59.799347image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q14
median4
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6579802733
Coefficient of variation (CV)0.1742058684
Kurtosis3.848107248
Mean3.777027027
Median Absolute Deviation (MAD)0
Skewness-1.326291384
Sum559
Variance0.4329380401
MonotonicityNot monotonic
2025-03-05T09:47:00.065800image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 102
36.3%
3 31
 
11.0%
5 10
 
3.6%
2 3
 
1.1%
1 2
 
0.7%
(Missing) 133
47.3%
ValueCountFrequency (%)
1 2
 
0.7%
2 3
 
1.1%
3 31
 
11.0%
4 102
36.3%
5 10
 
3.6%
ValueCountFrequency (%)
5 10
 
3.6%
4 102
36.3%
3 31
 
11.0%
2 3
 
1.1%
1 2
 
0.7%

C12_4
Real number (ℝ)

Missing 

How often did you shop at the following super/markets last month? 1. Never, 2. Rarely, 3. Often, 4. Always, 5. No nearby shops Answer: Discount supermarket

Distinct5
Distinct (%)3.5%
Missing137
Missing (%)48.8%
Infinite0
Infinite (%)0.0%
Mean3.069444444
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2025-03-05T09:47:00.341922image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.227042483
Coefficient of variation (CV)0.399760447
Kurtosis-0.9575143952
Mean3.069444444
Median Absolute Deviation (MAD)1
Skewness-0.1800383487
Sum442
Variance1.505633256
MonotonicityNot monotonic
2025-03-05T09:47:00.618849image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 43
 
15.3%
3 36
 
12.8%
2 29
 
10.3%
1 19
 
6.8%
5 17
 
6.0%
(Missing) 137
48.8%
ValueCountFrequency (%)
1 19
6.8%
2 29
10.3%
3 36
12.8%
4 43
15.3%
5 17
 
6.0%
ValueCountFrequency (%)
5 17
 
6.0%
4 43
15.3%
3 36
12.8%
2 29
10.3%
1 19
6.8%

C12_5
Real number (ℝ)

Missing 

How often did you shop at the following super/markets last month? 1. Never, 2. Rarely, 3. Often, 4. Always, 5. No nearby shops Answer: Street markets

Distinct5
Distinct (%)3.4%
Missing134
Missing (%)47.7%
Infinite0
Infinite (%)0.0%
Mean2.265306122
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2025-03-05T09:47:00.880982image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.042432157
Coefficient of variation (CV)0.4601727542
Kurtosis-0.1696487408
Mean2.265306122
Median Absolute Deviation (MAD)1
Skewness0.6619061749
Sum333
Variance1.086664803
MonotonicityNot monotonic
2025-03-05T09:47:01.149217image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 61
21.7%
1 36
 
12.8%
3 29
 
10.3%
4 17
 
6.0%
5 4
 
1.4%
(Missing) 134
47.7%
ValueCountFrequency (%)
1 36
12.8%
2 61
21.7%
3 29
10.3%
4 17
 
6.0%
5 4
 
1.4%
ValueCountFrequency (%)
5 4
 
1.4%
4 17
 
6.0%
3 29
10.3%
2 61
21.7%
1 36
12.8%

D01
Real number (ℝ)

Missing 

Beyond walking about, do you engage in other physical activities? Answer: 1. Yes 2. No

Distinct2
Distinct (%)1.3%
Missing128
Missing (%)45.6%
Infinite0
Infinite (%)0.0%
Mean1.437908497
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2025-03-05T09:47:01.423311image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4977589958
Coefficient of variation (CV)0.3461687562
Kurtosis-1.961918116
Mean1.437908497
Median Absolute Deviation (MAD)0
Skewness0.2527886299
Sum220
Variance0.2477640179
MonotonicityNot monotonic
2025-03-05T09:47:01.657177image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 86
30.6%
2 67
23.8%
(Missing) 128
45.6%
ValueCountFrequency (%)
1 86
30.6%
2 67
23.8%
ValueCountFrequency (%)
2 67
23.8%
1 86
30.6%

D02
Real number (ℝ)

Missing 

Have you been physically active on a regular basis in the last year or so? Answer: 1.Yes 2.No [If D01=No and D02=No go to F01]

Distinct2
Distinct (%)1.3%
Missing128
Missing (%)45.6%
Infinite0
Infinite (%)0.0%
Mean1.37254902
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2025-03-05T09:47:01.887805image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4850712501
Coefficient of variation (CV)0.3534090536
Kurtosis-1.739403974
Mean1.37254902
Median Absolute Deviation (MAD)0
Skewness0.5324540377
Sum210
Variance0.2352941176
MonotonicityNot monotonic
2025-03-05T09:47:02.124452image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 96
34.2%
2 57
20.3%
(Missing) 128
45.6%
ValueCountFrequency (%)
1 96
34.2%
2 57
20.3%
ValueCountFrequency (%)
2 57
20.3%
1 96
34.2%

D03_1
Real number (ℝ)

Missing 

During the last year or so, how often have you done the following types of sport activities? 1. Not at all; 2. Less than once a week; 3. At least once a week; 4. Almost daily. Answer: Cardio/fitness activities like swimming, running, jogging, stair climbing, cycling or rope skipping

Distinct4
Distinct (%)4.7%
Missing195
Missing (%)69.4%
Infinite0
Infinite (%)0.0%
Mean3.26744186
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2025-03-05T09:47:02.340138image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.25
Q13
median3.5
Q34
95-th percentile4
Maximum4
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8868240572
Coefficient of variation (CV)0.2714123449
Kurtosis0.3713583985
Mean3.26744186
Median Absolute Deviation (MAD)0.5
Skewness-1.075557741
Sum281
Variance0.7864569083
MonotonicityNot monotonic
2025-03-05T09:47:02.569793image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
4 43
 
15.3%
3 28
 
10.0%
2 10
 
3.6%
1 5
 
1.8%
(Missing) 195
69.4%
ValueCountFrequency (%)
1 5
 
1.8%
2 10
 
3.6%
3 28
10.0%
4 43
15.3%
ValueCountFrequency (%)
4 43
15.3%
3 28
10.0%
2 10
 
3.6%
1 5
 
1.8%

D03_2
Real number (ℝ)

Missing 

During the last year or so, how often have you done the following types of sport activities? 1. Not at all; 2. Less than once a week; 3. At least once a week; 4. Almost daily. Answer: Yoga, stretching and fitness dancing activities like aerobics, dance exercise, Pilates

Distinct4
Distinct (%)4.7%
Missing196
Missing (%)69.8%
Infinite0
Infinite (%)0.0%
Mean2.011764706
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2025-03-05T09:47:02.795777image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile4
Maximum4
Range3
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.096467463
Coefficient of variation (CV)0.545027686
Kurtosis-1.076151933
Mean2.011764706
Median Absolute Deviation (MAD)1
Skewness0.5866879313
Sum171
Variance1.202240896
MonotonicityNot monotonic
2025-03-05T09:47:03.025102image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 39
 
13.9%
3 18
 
6.4%
2 17
 
6.0%
4 11
 
3.9%
(Missing) 196
69.8%
ValueCountFrequency (%)
1 39
13.9%
2 17
6.0%
3 18
6.4%
4 11
 
3.9%
ValueCountFrequency (%)
4 11
 
3.9%
3 18
6.4%
2 17
6.0%
1 39
13.9%

D03_3
Real number (ℝ)

Missing 

During the last year or so, how often have you done the following types of sport activities? 1. Not at all; 2. Less than once a week; 3. At least once a week; 4. Almost daily. Answer: Water sports like skiing, snowboarding, wakeboarding, diving, canoeing or rowing

Distinct3
Distinct (%)3.5%
Missing196
Missing (%)69.8%
Infinite0
Infinite (%)0.0%
Mean1.058823529
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2025-03-05T09:47:03.258289image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum3
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2825454526
Coefficient of variation (CV)0.266848483
Kurtosis30.10194362
Mean1.058823529
Median Absolute Deviation (MAD)0
Skewness5.296536722
Sum90
Variance0.07983193277
MonotonicityNot monotonic
2025-03-05T09:47:03.507897image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 81
28.8%
2 3
 
1.1%
3 1
 
0.4%
(Missing) 196
69.8%
ValueCountFrequency (%)
1 81
28.8%
2 3
 
1.1%
3 1
 
0.4%
ValueCountFrequency (%)
3 1
 
0.4%
2 3
 
1.1%
1 81
28.8%

D03_4
Real number (ℝ)

Missing 

During the last year or so, how often have you done the following types of sport activities? 1. Not at all; 2. Less than once a week; 3. At least once a week; 4. Almost daily. Answer: Weightlifting and resistance training including free weights, bench press, leg press, push ups, pull ups or sit ups

Distinct4
Distinct (%)4.7%
Missing195
Missing (%)69.4%
Infinite0
Infinite (%)0.0%
Mean2.744186047
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2025-03-05T09:47:03.751858image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11.25
median3
Q34
95-th percentile4
Maximum4
Range3
Interquartile range (IQR)2.75

Descriptive statistics

Standard deviation1.219315589
Coefficient of variation (CV)0.4443268673
Kurtosis-1.457323243
Mean2.744186047
Median Absolute Deviation (MAD)1
Skewness-0.3692729512
Sum236
Variance1.486730506
MonotonicityNot monotonic
2025-03-05T09:47:03.981763image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
4 33
 
11.7%
1 22
 
7.8%
3 20
 
7.1%
2 11
 
3.9%
(Missing) 195
69.4%
ValueCountFrequency (%)
1 22
7.8%
2 11
 
3.9%
3 20
7.1%
4 33
11.7%
ValueCountFrequency (%)
4 33
11.7%
3 20
7.1%
2 11
 
3.9%
1 22
7.8%

D03_5
Real number (ℝ)

Missing 

During the last year or so, how often have you done the following types of sport activities? 1. Not at all; 2. Less than once a week; 3. At least once a week; 4. Almost daily. Answer: Team sports like soccer, basketball, hockey, baseball, and volleyball

Distinct4
Distinct (%)4.7%
Missing196
Missing (%)69.8%
Infinite0
Infinite (%)0.0%
Mean1.776470588
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2025-03-05T09:47:04.217223image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile4
Maximum4
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.062078719
Coefficient of variation (CV)0.5978588813
Kurtosis-0.2492532197
Mean1.776470588
Median Absolute Deviation (MAD)0
Skewness1.07349708
Sum151
Variance1.128011204
MonotonicityNot monotonic
2025-03-05T09:47:04.451097image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 49
 
17.4%
2 16
 
5.7%
3 10
 
3.6%
4 10
 
3.6%
(Missing) 196
69.8%
ValueCountFrequency (%)
1 49
17.4%
2 16
 
5.7%
3 10
 
3.6%
4 10
 
3.6%
ValueCountFrequency (%)
4 10
 
3.6%
3 10
 
3.6%
2 16
 
5.7%
1 49
17.4%

D03_6
Real number (ℝ)

Missing 

During the last year or so, how often have you done the following types of sport activities? 1. Not at all; 2. Less than once a week; 3. At least once a week; 4. Almost daily. Answer: Boxing and martial arts like judo, karate and taekwondo

Distinct4
Distinct (%)4.7%
Missing196
Missing (%)69.8%
Infinite0
Infinite (%)0.0%
Mean1.282352941
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2025-03-05T09:47:04.681769image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile3
Maximum4
Range3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7497898865
Coefficient of variation (CV)0.5846985354
Kurtosis6.856281843
Mean1.282352941
Median Absolute Deviation (MAD)0
Skewness2.779078609
Sum109
Variance0.5621848739
MonotonicityNot monotonic
2025-03-05T09:47:04.922244image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 72
 
25.6%
2 6
 
2.1%
4 4
 
1.4%
3 3
 
1.1%
(Missing) 196
69.8%
ValueCountFrequency (%)
1 72
25.6%
2 6
 
2.1%
3 3
 
1.1%
4 4
 
1.4%
ValueCountFrequency (%)
4 4
 
1.4%
3 3
 
1.1%
2 6
 
2.1%
1 72
25.6%

D03_7
Real number (ℝ)

Missing 

During the last year or so, how often have you done the following types of sport activities? 1. Not at all; 2. Less than once a week; 3. At least once a week; 4. Almost daily. Answer: Racket sports such as tennis, ping pong, and squash

Distinct4
Distinct (%)4.7%
Missing195
Missing (%)69.4%
Infinite0
Infinite (%)0.0%
Mean1.627906977
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2025-03-05T09:47:05.157224image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile4
Maximum4
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9336394521
Coefficient of variation (CV)0.5735213777
Kurtosis0.7202712713
Mean1.627906977
Median Absolute Deviation (MAD)0
Skewness1.348860028
Sum140
Variance0.8716826265
MonotonicityNot monotonic
2025-03-05T09:47:05.386999image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 53
 
18.9%
2 18
 
6.4%
3 9
 
3.2%
4 6
 
2.1%
(Missing) 195
69.4%
ValueCountFrequency (%)
1 53
18.9%
2 18
 
6.4%
3 9
 
3.2%
4 6
 
2.1%
ValueCountFrequency (%)
4 6
 
2.1%
3 9
 
3.2%
2 18
 
6.4%
1 53
18.9%

D03_8
Real number (ℝ)

Missing 

During the last year or so, how often have you done the following types of sport activities? 1. Not at all; 2. Less than once a week; 3. At least once a week; 4. Almost daily. Answer: Outdoor recreational sports like climbing, hill trekking, walking, mountain biking, orienteering, skateboarding

Distinct4
Distinct (%)4.7%
Missing196
Missing (%)69.8%
Infinite0
Infinite (%)0.0%
Mean1.552941176
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2025-03-05T09:47:05.618337image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile3
Maximum4
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8522502756
Coefficient of variation (CV)0.5487975259
Kurtosis1.357009031
Mean1.552941176
Median Absolute Deviation (MAD)0
Skewness1.48545594
Sum132
Variance0.7263305322
MonotonicityNot monotonic
2025-03-05T09:47:05.850133image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 54
 
19.2%
2 19
 
6.8%
3 8
 
2.8%
4 4
 
1.4%
(Missing) 196
69.8%
ValueCountFrequency (%)
1 54
19.2%
2 19
 
6.8%
3 8
 
2.8%
4 4
 
1.4%
ValueCountFrequency (%)
4 4
 
1.4%
3 8
 
2.8%
2 19
 
6.8%
1 54
19.2%

D04
Real number (ℝ)

Missing 

How often do you do physical exercise? Answer: 1.Every few weeks or less, 2.Once or twice a week, 3.Three to five days a week, 4.Six to seven days a week

Distinct4
Distinct (%)4.7%
Missing195
Missing (%)69.4%
Infinite0
Infinite (%)0.0%
Mean2.686046512
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2025-03-05T09:47:06.082142image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile4
Maximum4
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8576524444
Coefficient of variation (CV)0.3192991785
Kurtosis0.03246515373
Mean2.686046512
Median Absolute Deviation (MAD)0
Skewness-0.8295855264
Sum231
Variance0.7355677155
MonotonicityNot monotonic
2025-03-05T09:47:06.308340image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
3 54
 
19.2%
1 13
 
4.6%
2 10
 
3.6%
4 9
 
3.2%
(Missing) 195
69.4%
ValueCountFrequency (%)
1 13
 
4.6%
2 10
 
3.6%
3 54
19.2%
4 9
 
3.2%
ValueCountFrequency (%)
4 9
 
3.2%
3 54
19.2%
2 10
 
3.6%
1 13
 
4.6%

D06_1
Boolean

Imbalance  Missing 

When exercising, which of the following devices do you use? (Multiple choice) Answer: Wearable fitness trackers

Distinct2
Distinct (%)2.3%
Missing195
Missing (%)69.4%
Memory size694.0 B
False
83 
True
 
3
(Missing)
195 
ValueCountFrequency (%)
False 83
29.5%
True 3
 
1.1%
(Missing) 195
69.4%
2025-03-05T09:47:06.554690image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

D06_2
Boolean

Missing 

When exercising, which of the following devices do you use? (Multiple choice) Answer: Smartwatches

Distinct2
Distinct (%)2.3%
Missing195
Missing (%)69.4%
Memory size694.0 B
False
59 
True
27 
(Missing)
195 
ValueCountFrequency (%)
False 59
 
21.0%
True 27
 
9.6%
(Missing) 195
69.4%
2025-03-05T09:47:06.780400image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

D06_3
Boolean

Missing 

When exercising, which of the following devices do you use? (Multiple choice) Answer: Smartphone fitness apps

Distinct2
Distinct (%)2.3%
Missing195
Missing (%)69.4%
Memory size694.0 B
False
61 
True
25 
(Missing)
195 
ValueCountFrequency (%)
False 61
 
21.7%
True 25
 
8.9%
(Missing) 195
69.4%
2025-03-05T09:47:07.009867image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

D06_4
Boolean

Missing 

When exercising, which of the following devices do you use? (Multiple choice) Answer: Headphones

Distinct2
Distinct (%)2.3%
Missing195
Missing (%)69.4%
Memory size694.0 B
False
43 
True
43 
(Missing)
195 
ValueCountFrequency (%)
False 43
 
15.3%
True 43
 
15.3%
(Missing) 195
69.4%
2025-03-05T09:47:07.240360image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

D06_5
Boolean

Missing 

When exercising, which of the following devices do you use? (Multiple choice)

Distinct2
Distinct (%)2.3%
Missing195
Missing (%)69.4%
Memory size694.0 B
False
59 
True
27 
(Missing)
195 
ValueCountFrequency (%)
False 59
 
21.0%
True 27
 
9.6%
(Missing) 195
69.4%
2025-03-05T09:47:07.471677image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

D06_other
Text

Missing 

When exercising, which of the following devices do you use? (Multiple choice) Answer: Other, please specify: ______

Distinct3
Distinct (%)100.0%
Missing278
Missing (%)98.9%
Memory size2.5 KiB
2025-03-05T09:47:07.692339image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length72
Median length36
Mean length41.33333333
Min length16

Characters and Unicode

Total characters124
Distinct characters27
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)100.0%

Sample

1st rowTablet (youtube)
2nd rowsi tuviera un Smartwatch, lo usaria.
3rd rowen el ballet nada, si salgo a andar en bici o caminar/trotar smartwatch
ValueCountFrequency (%)
si 2
 
9.5%
smartwatch 2
 
9.5%
en 2
 
9.5%
tablet 1
 
4.8%
youtube 1
 
4.8%
tuviera 1
 
4.8%
un 1
 
4.8%
lo 1
 
4.8%
usaria 1
 
4.8%
el 1
 
4.8%
Other values (8) 8
38.1%
2025-03-05T09:47:08.188336image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
19
15.3%
a 18
14.5%
t 10
 
8.1%
r 8
 
6.5%
e 7
 
5.6%
i 7
 
5.6%
l 6
 
4.8%
n 6
 
4.8%
o 5
 
4.0%
u 5
 
4.0%
Other values (17) 33
26.6%

Most occurring categories

ValueCountFrequency (%)
(unknown) 124
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
19
15.3%
a 18
14.5%
t 10
 
8.1%
r 8
 
6.5%
e 7
 
5.6%
i 7
 
5.6%
l 6
 
4.8%
n 6
 
4.8%
o 5
 
4.0%
u 5
 
4.0%
Other values (17) 33
26.6%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 124
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
19
15.3%
a 18
14.5%
t 10
 
8.1%
r 8
 
6.5%
e 7
 
5.6%
i 7
 
5.6%
l 6
 
4.8%
n 6
 
4.8%
o 5
 
4.0%
u 5
 
4.0%
Other values (17) 33
26.6%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 124
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
19
15.3%
a 18
14.5%
t 10
 
8.1%
r 8
 
6.5%
e 7
 
5.6%
i 7
 
5.6%
l 6
 
4.8%
n 6
 
4.8%
o 5
 
4.0%
u 5
 
4.0%
Other values (17) 33
26.6%

M01_1
Real number (ℝ)

Missing 

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree Answer: Writing is a natural way for me to express myself.

Distinct5
Distinct (%)3.6%
Missing143
Missing (%)50.9%
Infinite0
Infinite (%)0.0%
Mean3.02173913
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2025-03-05T09:47:08.409017image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.246703047
Coefficient of variation (CV)0.4125779866
Kurtosis-0.9571348643
Mean3.02173913
Median Absolute Deviation (MAD)1
Skewness0.004248662198
Sum417
Variance1.554268486
MonotonicityNot monotonic
2025-03-05T09:47:08.659616image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 39
 
13.9%
2 31
 
11.0%
4 30
 
10.7%
5 20
 
7.1%
1 18
 
6.4%
(Missing) 143
50.9%
ValueCountFrequency (%)
1 18
6.4%
2 31
11.0%
3 39
13.9%
4 30
10.7%
5 20
7.1%
ValueCountFrequency (%)
5 20
7.1%
4 30
10.7%
3 39
13.9%
2 31
11.0%
1 18
6.4%

M01_2
Real number (ℝ)

Missing 

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree Answer: At school studies in native language or social studies were easier for me than mathematics, physics and chemistry.

Distinct5
Distinct (%)3.6%
Missing142
Missing (%)50.5%
Infinite0
Infinite (%)0.0%
Mean2.791366906
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2025-03-05T09:47:08.910358image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.288043231
Coefficient of variation (CV)0.4614381677
Kurtosis-0.9425899733
Mean2.791366906
Median Absolute Deviation (MAD)1
Skewness0.3356628503
Sum388
Variance1.659055364
MonotonicityNot monotonic
2025-03-05T09:47:09.164390image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 43
 
15.3%
3 33
 
11.7%
1 23
 
8.2%
5 20
 
7.1%
4 20
 
7.1%
(Missing) 142
50.5%
ValueCountFrequency (%)
1 23
8.2%
2 43
15.3%
3 33
11.7%
4 20
7.1%
5 20
7.1%
ValueCountFrequency (%)
5 20
7.1%
4 20
7.1%
3 33
11.7%
2 43
15.3%
1 23
8.2%

M01_3
Real number (ℝ)

Missing 

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree Answer: I have recently written something that I am especially proud of, or for which I have received recognition.

Distinct5
Distinct (%)3.7%
Missing145
Missing (%)51.6%
Infinite0
Infinite (%)0.0%
Mean2.264705882
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2025-03-05T09:47:09.413888image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.334639883
Coefficient of variation (CV)0.5893215067
Kurtosis-0.7140474728
Mean2.264705882
Median Absolute Deviation (MAD)1
Skewness0.7163183999
Sum308
Variance1.781263617
MonotonicityNot monotonic
2025-03-05T09:47:09.895937image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 55
 
19.6%
2 30
 
10.7%
3 23
 
8.2%
4 16
 
5.7%
5 12
 
4.3%
(Missing) 145
51.6%
ValueCountFrequency (%)
1 55
19.6%
2 30
10.7%
3 23
8.2%
4 16
 
5.7%
5 12
 
4.3%
ValueCountFrequency (%)
5 12
 
4.3%
4 16
 
5.7%
3 23
8.2%
2 30
10.7%
1 55
19.6%

M01_4
Real number (ℝ)

Missing 

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree Answer: Metaphors and vivid verbal expressions help me learn efficiently.

Distinct5
Distinct (%)3.6%
Missing143
Missing (%)50.9%
Infinite0
Infinite (%)0.0%
Mean3.507246377
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2025-03-05T09:47:10.147912image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.147808937
Coefficient of variation (CV)0.3272678373
Kurtosis-0.5734490804
Mean3.507246377
Median Absolute Deviation (MAD)1
Skewness-0.3265623148
Sum484
Variance1.317465355
MonotonicityNot monotonic
2025-03-05T09:47:10.404274image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 48
 
17.1%
5 34
 
12.1%
4 33
 
11.7%
2 15
 
5.3%
1 8
 
2.8%
(Missing) 143
50.9%
ValueCountFrequency (%)
1 8
 
2.8%
2 15
 
5.3%
3 48
17.1%
4 33
11.7%
5 34
12.1%
ValueCountFrequency (%)
5 34
12.1%
4 33
11.7%
3 48
17.1%
2 15
 
5.3%
1 8
 
2.8%

M01_5
Real number (ℝ)

Missing 

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree Answer: At school I was good at mathematics, physics or chemistry.

Distinct5
Distinct (%)3.6%
Missing141
Missing (%)50.2%
Infinite0
Infinite (%)0.0%
Mean3.807142857
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2025-03-05T09:47:10.657737image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median4
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.251740823
Coefficient of variation (CV)0.3287874581
Kurtosis-0.5816201511
Mean3.807142857
Median Absolute Deviation (MAD)1
Skewness-0.7442052942
Sum533
Variance1.566855087
MonotonicityNot monotonic
2025-03-05T09:47:10.911996image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 56
 
19.9%
4 35
 
12.5%
3 23
 
8.2%
2 18
 
6.4%
1 8
 
2.8%
(Missing) 141
50.2%
ValueCountFrequency (%)
1 8
 
2.8%
2 18
 
6.4%
3 23
8.2%
4 35
12.5%
5 56
19.9%
ValueCountFrequency (%)
5 56
19.9%
4 35
12.5%
3 23
8.2%
2 18
 
6.4%
1 8
 
2.8%

M01_6
Real number (ℝ)

Missing 

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree Answer: I can work with and solve complex problems.

Distinct5
Distinct (%)3.6%
Missing143
Missing (%)50.9%
Infinite0
Infinite (%)0.0%
Mean3.543478261
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2025-03-05T09:47:11.187799image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median4
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.061052812
Coefficient of variation (CV)0.2994382168
Kurtosis-0.8870749717
Mean3.543478261
Median Absolute Deviation (MAD)1
Skewness-0.2643131329
Sum489
Variance1.125833069
MonotonicityNot monotonic
2025-03-05T09:47:11.444860image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 49
 
17.4%
3 33
 
11.7%
5 28
 
10.0%
2 26
 
9.3%
1 2
 
0.7%
(Missing) 143
50.9%
ValueCountFrequency (%)
1 2
 
0.7%
2 26
9.3%
3 33
11.7%
4 49
17.4%
5 28
10.0%
ValueCountFrequency (%)
5 28
10.0%
4 49
17.4%
3 33
11.7%
2 26
9.3%
1 2
 
0.7%

M01_7
Real number (ℝ)

Missing 

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree Answer: Mental arithmetic is easy for me.

Distinct5
Distinct (%)3.6%
Missing143
Missing (%)50.9%
Infinite0
Infinite (%)0.0%
Mean3.079710145
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2025-03-05T09:47:11.702344image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.279037013
Coefficient of variation (CV)0.415310842
Kurtosis-1.076241941
Mean3.079710145
Median Absolute Deviation (MAD)1
Skewness-0.02359077258
Sum425
Variance1.635935682
MonotonicityNot monotonic
2025-03-05T09:47:11.962177image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 33
 
11.7%
2 33
 
11.7%
4 32
 
11.4%
5 23
 
8.2%
1 17
 
6.0%
(Missing) 143
50.9%
ValueCountFrequency (%)
1 17
6.0%
2 33
11.7%
3 33
11.7%
4 32
11.4%
5 23
8.2%
ValueCountFrequency (%)
5 23
8.2%
4 32
11.4%
3 33
11.7%
2 33
11.7%
1 17
6.0%

M01_8
Real number (ℝ)

Missing 

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree Answer: I am good at games and problem solving, which require logical thinking.

Distinct5
Distinct (%)3.6%
Missing142
Missing (%)50.5%
Infinite0
Infinite (%)0.0%
Mean3.604316547
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2025-03-05T09:47:12.223620image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median4
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.100847533
Coefficient of variation (CV)0.3054247646
Kurtosis-0.4075823341
Mean3.604316547
Median Absolute Deviation (MAD)1
Skewness-0.5173196117
Sum501
Variance1.21186529
MonotonicityNot monotonic
2025-03-05T09:47:12.488531image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 49
 
17.4%
3 35
 
12.5%
5 32
 
11.4%
2 17
 
6.0%
1 6
 
2.1%
(Missing) 142
50.5%
ValueCountFrequency (%)
1 6
 
2.1%
2 17
 
6.0%
3 35
12.5%
4 49
17.4%
5 32
11.4%
ValueCountFrequency (%)
5 32
11.4%
4 49
17.4%
3 35
12.5%
2 17
 
6.0%
1 6
 
2.1%

M01_9
Real number (ℝ)

Missing 

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree Answer: At school, geometry and various kinds of assignments involving spatial perception were easier for me than solving equations.

Distinct5
Distinct (%)3.6%
Missing144
Missing (%)51.2%
Infinite0
Infinite (%)0.0%
Mean2.905109489
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2025-03-05T09:47:12.743599image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.235999308
Coefficient of variation (CV)0.4254570482
Kurtosis-0.8418800675
Mean2.905109489
Median Absolute Deviation (MAD)1
Skewness0.2302397963
Sum398
Variance1.527694289
MonotonicityNot monotonic
2025-03-05T09:47:12.997948image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 42
 
14.9%
2 37
 
13.2%
5 20
 
7.1%
4 20
 
7.1%
1 18
 
6.4%
(Missing) 144
51.2%
ValueCountFrequency (%)
1 18
6.4%
2 37
13.2%
3 42
14.9%
4 20
7.1%
5 20
7.1%
ValueCountFrequency (%)
5 20
7.1%
4 20
7.1%
3 42
14.9%
2 37
13.2%
1 18
6.4%

M01_10
Real number (ℝ)

Missing 

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree Answer: It is easy for me to conceptualize complex and multidimensional patterns.

Distinct5
Distinct (%)3.6%
Missing144
Missing (%)51.2%
Infinite0
Infinite (%)0.0%
Mean3.109489051
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2025-03-05T09:47:13.249206image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.141972185
Coefficient of variation (CV)0.3672539657
Kurtosis-0.722336556
Mean3.109489051
Median Absolute Deviation (MAD)1
Skewness0.08299404474
Sum426
Variance1.304100472
MonotonicityNot monotonic
2025-03-05T09:47:13.506793image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 48
 
17.1%
2 32
 
11.4%
4 27
 
9.6%
5 20
 
7.1%
1 10
 
3.6%
(Missing) 144
51.2%
ValueCountFrequency (%)
1 10
 
3.6%
2 32
11.4%
3 48
17.1%
4 27
9.6%
5 20
7.1%
ValueCountFrequency (%)
5 20
7.1%
4 27
9.6%
3 48
17.1%
2 32
11.4%
1 10
 
3.6%

M01_11
Real number (ℝ)

Missing 

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree Answer: I can easily imagine how a landscape looks from a bird’s-eye view.

Distinct5
Distinct (%)3.6%
Missing143
Missing (%)50.9%
Infinite0
Infinite (%)0.0%
Mean3.434782609
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2025-03-05T09:47:13.760957image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12.25
median3
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2.75

Descriptive statistics

Standard deviation1.27843724
Coefficient of variation (CV)0.3722032472
Kurtosis-1.00941875
Mean3.434782609
Median Absolute Deviation (MAD)1
Skewness-0.2885492147
Sum474
Variance1.634401777
MonotonicityNot monotonic
2025-03-05T09:47:14.026783image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 38
 
13.5%
3 35
 
12.5%
4 30
 
10.7%
2 24
 
8.5%
1 11
 
3.9%
(Missing) 143
50.9%
ValueCountFrequency (%)
1 11
 
3.9%
2 24
8.5%
3 35
12.5%
4 30
10.7%
5 38
13.5%
ValueCountFrequency (%)
5 38
13.5%
4 30
10.7%
3 35
12.5%
2 24
8.5%
1 11
 
3.9%

M01_12
Real number (ℝ)

Missing 

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree Answer: When I read, I form illustrative pictures or designs in my mind.

Distinct5
Distinct (%)3.6%
Missing142
Missing (%)50.5%
Infinite0
Infinite (%)0.0%
Mean4.007194245
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2025-03-05T09:47:14.287897image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.9
Q13
median4
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.126083394
Coefficient of variation (CV)0.281015425
Kurtosis0.6107782935
Mean4.007194245
Median Absolute Deviation (MAD)1
Skewness-1.126431791
Sum557
Variance1.26806381
MonotonicityNot monotonic
2025-03-05T09:47:14.548203image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 59
21.0%
4 44
 
15.7%
3 21
 
7.5%
2 8
 
2.8%
1 7
 
2.5%
(Missing) 142
50.5%
ValueCountFrequency (%)
1 7
 
2.5%
2 8
 
2.8%
3 21
 
7.5%
4 44
15.7%
5 59
21.0%
ValueCountFrequency (%)
5 59
21.0%
4 44
15.7%
3 21
 
7.5%
2 8
 
2.8%
1 7
 
2.5%

M01_13
Real number (ℝ)

Missing 

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree Answer: I am handy.

Distinct5
Distinct (%)3.6%
Missing144
Missing (%)51.2%
Infinite0
Infinite (%)0.0%
Mean3.729927007
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2025-03-05T09:47:14.807041image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median4
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.010995794
Coefficient of variation (CV)0.2710497529
Kurtosis-0.2979892704
Mean3.729927007
Median Absolute Deviation (MAD)1
Skewness-0.474241106
Sum511
Variance1.022112495
MonotonicityNot monotonic
2025-03-05T09:47:15.063428image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 48
 
17.1%
3 39
 
13.9%
5 35
 
12.5%
2 12
 
4.3%
1 3
 
1.1%
(Missing) 144
51.2%
ValueCountFrequency (%)
1 3
 
1.1%
2 12
 
4.3%
3 39
13.9%
4 48
17.1%
5 35
12.5%
ValueCountFrequency (%)
5 35
12.5%
4 48
17.1%
3 39
13.9%
2 12
 
4.3%
1 3
 
1.1%

M01_14
Real number (ℝ)

Missing 

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree Answer: I can easily do something concrete with my hands (e.g. knitting and woodwork).

Distinct5
Distinct (%)3.6%
Missing142
Missing (%)50.5%
Infinite0
Infinite (%)0.0%
Mean3.100719424
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2025-03-05T09:47:15.319685image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.342153602
Coefficient of variation (CV)0.4328523216
Kurtosis-1.140326756
Mean3.100719424
Median Absolute Deviation (MAD)1
Skewness-0.02206364854
Sum431
Variance1.80137629
MonotonicityNot monotonic
2025-03-05T09:47:15.583656image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 36
 
12.8%
2 29
 
10.3%
5 29
 
10.3%
4 25
 
8.9%
1 20
 
7.1%
(Missing) 142
50.5%
ValueCountFrequency (%)
1 20
7.1%
2 29
10.3%
3 36
12.8%
4 25
8.9%
5 29
10.3%
ValueCountFrequency (%)
5 29
10.3%
4 25
8.9%
3 36
12.8%
2 29
10.3%
1 20
7.1%

M01_15
Real number (ℝ)

Missing 

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree Answer: I am good at showing how to do something in practice.

Distinct5
Distinct (%)3.6%
Missing142
Missing (%)50.5%
Infinite0
Infinite (%)0.0%
Mean3.568345324
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2025-03-05T09:47:15.844585image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median4
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.063562238
Coefficient of variation (CV)0.29805474
Kurtosis-0.4256349052
Mean3.568345324
Median Absolute Deviation (MAD)1
Skewness-0.3830232899
Sum496
Variance1.131164634
MonotonicityNot monotonic
2025-03-05T09:47:16.108542image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 45
 
16.0%
3 43
 
15.3%
5 30
 
10.7%
2 16
 
5.7%
1 5
 
1.8%
(Missing) 142
50.5%
ValueCountFrequency (%)
1 5
 
1.8%
2 16
 
5.7%
3 43
15.3%
4 45
16.0%
5 30
10.7%
ValueCountFrequency (%)
5 30
10.7%
4 45
16.0%
3 43
15.3%
2 16
 
5.7%
1 5
 
1.8%

M01_16
Real number (ℝ)

Missing 

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree Answer: I was good at handicrafts at school

Distinct5
Distinct (%)3.6%
Missing142
Missing (%)50.5%
Infinite0
Infinite (%)0.0%
Mean2.913669065
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2025-03-05T09:47:16.375676image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.33232941
Coefficient of variation (CV)0.4572686125
Kurtosis-1.113288198
Mean2.913669065
Median Absolute Deviation (MAD)1
Skewness0.2348113535
Sum405
Variance1.775101658
MonotonicityNot monotonic
2025-03-05T09:47:16.633444image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 41
 
14.6%
3 31
 
11.0%
5 25
 
8.9%
1 21
 
7.5%
4 21
 
7.5%
(Missing) 142
50.5%
ValueCountFrequency (%)
1 21
7.5%
2 41
14.6%
3 31
11.0%
4 21
7.5%
5 25
8.9%
ValueCountFrequency (%)
5 25
8.9%
4 21
7.5%
3 31
11.0%
2 41
14.6%
1 21
7.5%

M01_17
Real number (ℝ)

Missing 

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree Answer: After hearing a tune once or twice I am able to sing or whistle it quite accurately

Distinct5
Distinct (%)3.6%
Missing142
Missing (%)50.5%
Infinite0
Infinite (%)0.0%
Mean3.071942446
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2025-03-05T09:47:16.901010image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.344016734
Coefficient of variation (CV)0.4375136442
Kurtosis-1.179010557
Mean3.071942446
Median Absolute Deviation (MAD)1
Skewness-0.07829201014
Sum427
Variance1.806380982
MonotonicityNot monotonic
2025-03-05T09:47:17.177865image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 33
 
11.7%
3 30
 
10.7%
2 29
 
10.3%
5 25
 
8.9%
1 22
 
7.8%
(Missing) 142
50.5%
ValueCountFrequency (%)
1 22
7.8%
2 29
10.3%
3 30
10.7%
4 33
11.7%
5 25
8.9%
ValueCountFrequency (%)
5 25
8.9%
4 33
11.7%
3 30
10.7%
2 29
10.3%
1 22
7.8%

M01_18
Real number (ℝ)

Missing 

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree Answer: When listening to music, I am able to discern instruments or recognize melodies.

Distinct5
Distinct (%)3.6%
Missing144
Missing (%)51.2%
Infinite0
Infinite (%)0.0%
Mean3.262773723
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2025-03-05T09:47:17.453402image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.368071168
Coefficient of variation (CV)0.4192969799
Kurtosis-1.228166602
Mean3.262773723
Median Absolute Deviation (MAD)1
Skewness-0.1898471795
Sum447
Variance1.87161872
MonotonicityNot monotonic
2025-03-05T09:47:17.729152image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 34
 
12.1%
4 31
 
11.0%
2 29
 
10.3%
3 26
 
9.3%
1 17
 
6.0%
(Missing) 144
51.2%
ValueCountFrequency (%)
1 17
6.0%
2 29
10.3%
3 26
9.3%
4 31
11.0%
5 34
12.1%
ValueCountFrequency (%)
5 34
12.1%
4 31
11.0%
3 26
9.3%
2 29
10.3%
1 17
6.0%

M01_19
Real number (ℝ)

Missing 

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree Answer: I can easily keep the rhythm when drumming a melody

Distinct5
Distinct (%)3.6%
Missing143
Missing (%)50.9%
Infinite0
Infinite (%)0.0%
Mean2.630434783
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2025-03-05T09:47:17.996636image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2.5
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.388566908
Coefficient of variation (CV)0.5278849402
Kurtosis-1.153634027
Mean2.630434783
Median Absolute Deviation (MAD)1.5
Skewness0.323201273
Sum363
Variance1.928118058
MonotonicityNot monotonic
2025-03-05T09:47:18.249779image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 40
 
14.2%
2 29
 
10.3%
3 29
 
10.3%
4 22
 
7.8%
5 18
 
6.4%
(Missing) 143
50.9%
ValueCountFrequency (%)
1 40
14.2%
2 29
10.3%
3 29
10.3%
4 22
7.8%
5 18
6.4%
ValueCountFrequency (%)
5 18
6.4%
4 22
7.8%
3 29
10.3%
2 29
10.3%
1 40
14.2%

M01_20
Real number (ℝ)

Missing 

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree Answer: I notice immediately if a melody is out of tune

Distinct5
Distinct (%)3.6%
Missing142
Missing (%)50.5%
Infinite0
Infinite (%)0.0%
Mean2.81294964
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2025-03-05T09:47:18.504878image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.422227001
Coefficient of variation (CV)0.5055998802
Kurtosis-1.326922984
Mean2.81294964
Median Absolute Deviation (MAD)1
Skewness0.1061826823
Sum391
Variance2.022729642
MonotonicityNot monotonic
2025-03-05T09:47:18.767612image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 36
 
12.8%
4 30
 
10.7%
3 26
 
9.3%
2 26
 
9.3%
5 21
 
7.5%
(Missing) 142
50.5%
ValueCountFrequency (%)
1 36
12.8%
2 26
9.3%
3 26
9.3%
4 30
10.7%
5 21
7.5%
ValueCountFrequency (%)
5 21
7.5%
4 30
10.7%
3 26
9.3%
2 26
9.3%
1 36
12.8%

M01_21
Real number (ℝ)

Missing 

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree Answer: Even in strange company, I easily find someone to talk to

Distinct5
Distinct (%)3.7%
Missing146
Missing (%)52.0%
Infinite0
Infinite (%)0.0%
Mean2.896296296
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2025-03-05T09:47:19.031452image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.288723041
Coefficient of variation (CV)0.4449555256
Kurtosis-1.066162927
Mean2.896296296
Median Absolute Deviation (MAD)1
Skewness0.1535556566
Sum391
Variance1.660807076
MonotonicityNot monotonic
2025-03-05T09:47:19.298622image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 37
 
13.2%
3 31
 
11.0%
4 27
 
9.6%
1 21
 
7.5%
5 19
 
6.8%
(Missing) 146
52.0%
ValueCountFrequency (%)
1 21
7.5%
2 37
13.2%
3 31
11.0%
4 27
9.6%
5 19
6.8%
ValueCountFrequency (%)
5 19
6.8%
4 27
9.6%
3 31
11.0%
2 37
13.2%
1 21
7.5%

M01_22
Real number (ℝ)

Missing 

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree Answer: I get alone easily with different types of people

Distinct5
Distinct (%)3.6%
Missing143
Missing (%)50.9%
Infinite0
Infinite (%)0.0%
Mean3.630434783
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2025-03-05T09:47:19.559716image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median4
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.060753671
Coefficient of variation (CV)0.2921836458
Kurtosis-0.2698583959
Mean3.630434783
Median Absolute Deviation (MAD)1
Skewness-0.5530744344
Sum501
Variance1.12519835
MonotonicityNot monotonic
2025-03-05T09:47:19.819332image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 53
 
18.9%
3 34
 
12.1%
5 30
 
10.7%
2 16
 
5.7%
1 5
 
1.8%
(Missing) 143
50.9%
ValueCountFrequency (%)
1 5
 
1.8%
2 16
 
5.7%
3 34
12.1%
4 53
18.9%
5 30
10.7%
ValueCountFrequency (%)
5 30
10.7%
4 53
18.9%
3 34
12.1%
2 16
 
5.7%
1 5
 
1.8%

M01_23
Real number (ℝ)

Missing 

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree Answer: I make contact easily with other people.

Distinct5
Distinct (%)3.6%
Missing142
Missing (%)50.5%
Infinite0
Infinite (%)0.0%
Mean3.273381295
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2025-03-05T09:47:20.074618image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.9
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.184475395
Coefficient of variation (CV)0.3618507252
Kurtosis-0.9929033438
Mean3.273381295
Median Absolute Deviation (MAD)1
Skewness0.03703377652
Sum455
Variance1.402981962
MonotonicityNot monotonic
2025-03-05T09:47:20.335327image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 43
 
15.3%
2 33
 
11.7%
5 29
 
10.3%
4 27
 
9.6%
1 7
 
2.5%
(Missing) 142
50.5%
ValueCountFrequency (%)
1 7
 
2.5%
2 33
11.7%
3 43
15.3%
4 27
9.6%
5 29
10.3%
ValueCountFrequency (%)
5 29
10.3%
4 27
9.6%
3 43
15.3%
2 33
11.7%
1 7
 
2.5%

M01_24
Real number (ℝ)

Missing 

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree Answer: In negotiations and group work, I am able to support the group to find a consensus.

Distinct5
Distinct (%)3.6%
Missing143
Missing (%)50.9%
Infinite0
Infinite (%)0.0%
Mean3.550724638
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2025-03-05T09:47:20.583762image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median4
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.025744976
Coefficient of variation (CV)0.2888832789
Kurtosis-0.4010314578
Mean3.550724638
Median Absolute Deviation (MAD)1
Skewness-0.3239455479
Sum490
Variance1.052152756
MonotonicityNot monotonic
2025-03-05T09:47:20.840911image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 46
 
16.4%
3 45
 
16.0%
5 27
 
9.6%
2 16
 
5.7%
1 4
 
1.4%
(Missing) 143
50.9%
ValueCountFrequency (%)
1 4
 
1.4%
2 16
 
5.7%
3 45
16.0%
4 46
16.4%
5 27
9.6%
ValueCountFrequency (%)
5 27
9.6%
4 46
16.4%
3 45
16.0%
2 16
 
5.7%
1 4
 
1.4%

M01_25
Real number (ℝ)

Missing 

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree Answer: I am able to analyse my own motives and ways of action.

Distinct5
Distinct (%)3.6%
Missing141
Missing (%)50.2%
Infinite0
Infinite (%)0.0%
Mean3.835714286
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2025-03-05T09:47:21.091699image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median4
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.022134276
Coefficient of variation (CV)0.2664782099
Kurtosis-0.2652024525
Mean3.835714286
Median Absolute Deviation (MAD)1
Skewness-0.5659409706
Sum537
Variance1.044758479
MonotonicityNot monotonic
2025-03-05T09:47:21.353628image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 45
 
16.0%
5 44
 
15.7%
3 38
 
13.5%
2 10
 
3.6%
1 3
 
1.1%
(Missing) 141
50.2%
ValueCountFrequency (%)
1 3
 
1.1%
2 10
 
3.6%
3 38
13.5%
4 45
16.0%
5 44
15.7%
ValueCountFrequency (%)
5 44
15.7%
4 45
16.0%
3 38
13.5%
2 10
 
3.6%
1 3
 
1.1%

M01_26
Real number (ℝ)

Missing 

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree Answer: I often think about my own feelings and sentiments and seek reasons for them.

Distinct5
Distinct (%)3.6%
Missing143
Missing (%)50.9%
Infinite0
Infinite (%)0.0%
Mean3.905797101
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2025-03-05T09:47:21.608367image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median4
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.045586352
Coefficient of variation (CV)0.267701144
Kurtosis-0.5344272846
Mean3.905797101
Median Absolute Deviation (MAD)1
Skewness-0.586760725
Sum539
Variance1.09325082
MonotonicityNot monotonic
2025-03-05T09:47:21.864796image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 51
 
18.1%
4 39
 
13.9%
3 34
 
12.1%
2 12
 
4.3%
1 2
 
0.7%
(Missing) 143
50.9%
ValueCountFrequency (%)
1 2
 
0.7%
2 12
 
4.3%
3 34
12.1%
4 39
13.9%
5 51
18.1%
ValueCountFrequency (%)
5 51
18.1%
4 39
13.9%
3 34
12.1%
2 12
 
4.3%
1 2
 
0.7%

M01_27
Real number (ℝ)

Missing 

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree Answer: I spend time regularly reflecting on the important issues in life.

Distinct5
Distinct (%)3.6%
Missing143
Missing (%)50.9%
Infinite0
Infinite (%)0.0%
Mean3.666666667
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2025-03-05T09:47:22.120330image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median4
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.08965496
Coefficient of variation (CV)0.2971786255
Kurtosis-0.5665108209
Mean3.666666667
Median Absolute Deviation (MAD)1
Skewness-0.4706974234
Sum506
Variance1.187347932
MonotonicityNot monotonic
2025-03-05T09:47:22.377964image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 46
 
16.4%
5 36
 
12.8%
3 34
 
12.1%
2 18
 
6.4%
1 4
 
1.4%
(Missing) 143
50.9%
ValueCountFrequency (%)
1 4
 
1.4%
2 18
 
6.4%
3 34
12.1%
4 46
16.4%
5 36
12.8%
ValueCountFrequency (%)
5 36
12.8%
4 46
16.4%
3 34
12.1%
2 18
 
6.4%
1 4
 
1.4%

M01_28
Real number (ℝ)

Missing 

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree Answer: I like to read psychological or philosophical literature to increase my self-knowledge.

Distinct5
Distinct (%)3.6%
Missing144
Missing (%)51.2%
Infinite0
Infinite (%)0.0%
Mean2.854014599
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2025-03-05T09:47:22.629922image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.353319155
Coefficient of variation (CV)0.4741808804
Kurtosis-1.10088297
Mean2.854014599
Median Absolute Deviation (MAD)1
Skewness0.1972292561
Sum391
Variance1.831472735
MonotonicityNot monotonic
2025-03-05T09:47:22.896951image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 35
 
12.5%
2 32
 
11.4%
1 27
 
9.6%
5 23
 
8.2%
4 20
 
7.1%
(Missing) 144
51.2%
ValueCountFrequency (%)
1 27
9.6%
2 32
11.4%
3 35
12.5%
4 20
7.1%
5 23
8.2%
ValueCountFrequency (%)
5 23
8.2%
4 20
7.1%
3 35
12.5%
2 32
11.4%
1 27
9.6%

M01_29
Real number (ℝ)

Missing 

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree Answer: I enjoy the beauty and experiences related to nature

Distinct5
Distinct (%)3.6%
Missing143
Missing (%)50.9%
Infinite0
Infinite (%)0.0%
Mean4.224637681
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2025-03-05T09:47:23.157938image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median5
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9964763902
Coefficient of variation (CV)0.2358726275
Kurtosis0.6739487515
Mean4.224637681
Median Absolute Deviation (MAD)0
Skewness-1.184506255
Sum583
Variance0.9929651962
MonotonicityNot monotonic
2025-03-05T09:47:23.423848image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 73
26.0%
4 35
 
12.5%
3 20
 
7.1%
2 8
 
2.8%
1 2
 
0.7%
(Missing) 143
50.9%
ValueCountFrequency (%)
1 2
 
0.7%
2 8
 
2.8%
3 20
 
7.1%
4 35
12.5%
5 73
26.0%
ValueCountFrequency (%)
5 73
26.0%
4 35
12.5%
3 20
 
7.1%
2 8
 
2.8%
1 2
 
0.7%

M01_30
Real number (ℝ)

Missing 

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree Answer: Protecting the nature is important to me

Distinct5
Distinct (%)3.6%
Missing144
Missing (%)51.2%
Infinite0
Infinite (%)0.0%
Mean4.204379562
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2025-03-05T09:47:23.928333image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.8
Q13
median5
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.9635922842
Coefficient of variation (CV)0.2291877482
Kurtosis-0.08552712777
Mean4.204379562
Median Absolute Deviation (MAD)0
Skewness-0.922367418
Sum576
Variance0.9285100902
MonotonicityNot monotonic
2025-03-05T09:47:24.194499image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 71
25.3%
4 31
 
11.0%
3 28
 
10.0%
2 6
 
2.1%
1 1
 
0.4%
(Missing) 144
51.2%
ValueCountFrequency (%)
1 1
 
0.4%
2 6
 
2.1%
3 28
 
10.0%
4 31
11.0%
5 71
25.3%
ValueCountFrequency (%)
5 71
25.3%
4 31
11.0%
3 28
 
10.0%
2 6
 
2.1%
1 1
 
0.4%

M01_31
Real number (ℝ)

Missing 

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree Answer: I pay attention to my consumption habits in order to protect environment.

Distinct5
Distinct (%)3.6%
Missing143
Missing (%)50.9%
Infinite0
Infinite (%)0.0%
Mean3.210144928
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2025-03-05T09:47:24.450753image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12.25
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1.75

Descriptive statistics

Standard deviation1.03552165
Coefficient of variation (CV)0.3225778504
Kurtosis-0.6007183886
Mean3.210144928
Median Absolute Deviation (MAD)1
Skewness0.04739085278
Sum443
Variance1.072305088
MonotonicityNot monotonic
2025-03-05T09:47:24.705841image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 51
 
18.1%
4 35
 
12.5%
2 30
 
10.7%
5 17
 
6.0%
1 5
 
1.8%
(Missing) 143
50.9%
ValueCountFrequency (%)
1 5
 
1.8%
2 30
10.7%
3 51
18.1%
4 35
12.5%
5 17
 
6.0%
ValueCountFrequency (%)
5 17
 
6.0%
4 35
12.5%
3 51
18.1%
2 30
10.7%
1 5
 
1.8%

M01_32
Real number (ℝ)

Missing 

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree Answer: In midst of busy everyday life, I find it important to contemplate.

Distinct5
Distinct (%)3.6%
Missing142
Missing (%)50.5%
Infinite0
Infinite (%)0.0%
Mean3.726618705
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2025-03-05T09:47:24.962117image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median4
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.048157496
Coefficient of variation (CV)0.2812623396
Kurtosis-0.4637954254
Mean3.726618705
Median Absolute Deviation (MAD)1
Skewness-0.5032153893
Sum518
Variance1.098634136
MonotonicityNot monotonic
2025-03-05T09:47:25.217275image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 49
 
17.4%
5 37
 
13.2%
3 34
 
12.1%
2 16
 
5.7%
1 3
 
1.1%
(Missing) 142
50.5%
ValueCountFrequency (%)
1 3
 
1.1%
2 16
 
5.7%
3 34
12.1%
4 49
17.4%
5 37
13.2%
ValueCountFrequency (%)
5 37
13.2%
4 49
17.4%
3 34
12.1%
2 16
 
5.7%
1 3
 
1.1%

M01_33
Real number (ℝ)

Missing 

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree Answer: Even ordinary every-day life is full of miraculous things.

Distinct5
Distinct (%)3.6%
Missing142
Missing (%)50.5%
Infinite0
Infinite (%)0.0%
Mean3.647482014
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2025-03-05T09:47:25.471741image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median4
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.134845385
Coefficient of variation (CV)0.3111311806
Kurtosis-0.8544039857
Mean3.647482014
Median Absolute Deviation (MAD)1
Skewness-0.32675322
Sum507
Variance1.287874049
MonotonicityNot monotonic
2025-03-05T09:47:25.726910image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 42
 
14.9%
3 41
 
14.6%
4 33
 
11.7%
2 19
 
6.8%
1 4
 
1.4%
(Missing) 142
50.5%
ValueCountFrequency (%)
1 4
 
1.4%
2 19
6.8%
3 41
14.6%
4 33
11.7%
5 42
14.9%
ValueCountFrequency (%)
5 42
14.9%
4 33
11.7%
3 41
14.6%
2 19
6.8%
1 4
 
1.4%

M01_34
Real number (ℝ)

Missing 

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree Answer: I often reflect on the meaning of life.

Distinct5
Distinct (%)3.6%
Missing144
Missing (%)51.2%
Infinite0
Infinite (%)0.0%
Mean3.722627737
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2025-03-05T09:47:25.979028image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median4
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.186504549
Coefficient of variation (CV)0.3187276925
Kurtosis-0.780736492
Mean3.722627737
Median Absolute Deviation (MAD)1
Skewness-0.5439293745
Sum510
Variance1.407793044
MonotonicityNot monotonic
2025-03-05T09:47:26.235436image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 46
 
16.4%
4 38
 
13.5%
3 27
 
9.6%
2 21
 
7.5%
1 5
 
1.8%
(Missing) 144
51.2%
ValueCountFrequency (%)
1 5
 
1.8%
2 21
7.5%
3 27
9.6%
4 38
13.5%
5 46
16.4%
ValueCountFrequency (%)
5 46
16.4%
4 38
13.5%
3 27
9.6%
2 21
7.5%
1 5
 
1.8%

M01_35
Real number (ℝ)

Missing 

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree Answer: It is important to me to share a quiet moment with others.

Distinct5
Distinct (%)3.6%
Missing143
Missing (%)50.9%
Infinite0
Infinite (%)0.0%
Mean4.210144928
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2025-03-05T09:47:26.488659image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q14
median4
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9078160088
Coefficient of variation (CV)0.2156258334
Kurtosis1.828154647
Mean4.210144928
Median Absolute Deviation (MAD)1
Skewness-1.261831609
Sum581
Variance0.8241299058
MonotonicityNot monotonic
2025-03-05T09:47:26.751639image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 63
22.4%
4 49
 
17.4%
3 21
 
7.5%
1 3
 
1.1%
2 2
 
0.7%
(Missing) 143
50.9%
ValueCountFrequency (%)
1 3
 
1.1%
2 2
 
0.7%
3 21
 
7.5%
4 49
17.4%
5 63
22.4%
ValueCountFrequency (%)
5 63
22.4%
4 49
17.4%
3 21
 
7.5%
2 2
 
0.7%
1 3
 
1.1%

F01_1
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: Thinking up new ideas and being creative is important to them. They like to do things in their own original way

Distinct7
Distinct (%)4.6%
Missing130
Missing (%)46.3%
Infinite0
Infinite (%)0.0%
Mean2.516556291
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2025-03-05T09:47:27.004682image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile5
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.482584701
Coefficient of variation (CV)0.5891323416
Kurtosis1.980823109
Mean2.516556291
Median Absolute Deviation (MAD)1
Skewness1.136627031
Sum380
Variance2.198057395
MonotonicityNot monotonic
2025-03-05T09:47:27.251099image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 50
 
17.8%
3 37
 
13.2%
2 29
 
10.3%
4 24
 
8.5%
5 7
 
2.5%
8 3
 
1.1%
6 1
 
0.4%
(Missing) 130
46.3%
ValueCountFrequency (%)
1 50
17.8%
2 29
10.3%
3 37
13.2%
4 24
8.5%
5 7
 
2.5%
ValueCountFrequency (%)
8 3
 
1.1%
6 1
 
0.4%
5 7
 
2.5%
4 24
8.5%
3 37
13.2%

F01_2
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: It is important to them to be rich. They want to have a lot of money and expensive things

Distinct8
Distinct (%)5.3%
Missing129
Missing (%)45.9%
Infinite0
Infinite (%)0.0%
Mean3.861842105
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2025-03-05T09:47:27.491780image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median4
Q35
95-th percentile7
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.691620729
Coefficient of variation (CV)0.4380346691
Kurtosis-0.1546125212
Mean3.861842105
Median Absolute Deviation (MAD)1
Skewness0.1698175327
Sum587
Variance2.86158069
MonotonicityNot monotonic
2025-03-05T09:47:27.733894image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
4 47
 
16.7%
3 28
 
10.0%
5 23
 
8.2%
1 18
 
6.4%
6 14
 
5.0%
2 12
 
4.3%
7 6
 
2.1%
8 4
 
1.4%
(Missing) 129
45.9%
ValueCountFrequency (%)
1 18
 
6.4%
2 12
 
4.3%
3 28
10.0%
4 47
16.7%
5 23
8.2%
ValueCountFrequency (%)
8 4
 
1.4%
7 6
 
2.1%
6 14
 
5.0%
5 23
8.2%
4 47
16.7%

F01_3
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: They think it is important that every person in the world be treated equally. They want justice for everybody, even for people they don't know

Distinct8
Distinct (%)5.3%
Missing130
Missing (%)46.3%
Infinite0
Infinite (%)0.0%
Mean1.880794702
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2025-03-05T09:47:27.975447image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile4
Maximum8
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.221622704
Coefficient of variation (CV)0.6495247475
Kurtosis5.613734589
Mean1.880794702
Median Absolute Deviation (MAD)0
Skewness2.031954651
Sum284
Variance1.492362031
MonotonicityNot monotonic
2025-03-05T09:47:28.227962image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1 76
27.0%
2 43
 
15.3%
3 16
 
5.7%
4 12
 
4.3%
5 1
 
0.4%
6 1
 
0.4%
7 1
 
0.4%
8 1
 
0.4%
(Missing) 130
46.3%
ValueCountFrequency (%)
1 76
27.0%
2 43
15.3%
3 16
 
5.7%
4 12
 
4.3%
5 1
 
0.4%
ValueCountFrequency (%)
8 1
 
0.4%
7 1
 
0.4%
6 1
 
0.4%
5 1
 
0.4%
4 12
4.3%

F01_4
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: It's very important to them to show their abilities. They want people to admire what he does

Distinct8
Distinct (%)5.3%
Missing129
Missing (%)45.9%
Infinite0
Infinite (%)0.0%
Mean2.927631579
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2025-03-05T09:47:28.478763image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile6
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.695736663
Coefficient of variation (CV)0.5792179164
Kurtosis0.3955193101
Mean2.927631579
Median Absolute Deviation (MAD)1
Skewness0.8826300478
Sum445
Variance2.87552283
MonotonicityNot monotonic
2025-03-05T09:47:28.731257image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
2 38
 
13.5%
1 35
 
12.5%
3 29
 
10.3%
4 24
 
8.5%
5 14
 
5.0%
6 6
 
2.1%
7 3
 
1.1%
8 3
 
1.1%
(Missing) 129
45.9%
ValueCountFrequency (%)
1 35
12.5%
2 38
13.5%
3 29
10.3%
4 24
8.5%
5 14
 
5.0%
ValueCountFrequency (%)
8 3
 
1.1%
7 3
 
1.1%
6 6
 
2.1%
5 14
5.0%
4 24
8.5%

F01_5
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: It is important to them to live in secure surroundings. They avoid anything that might endanger their safety

Distinct7
Distinct (%)4.6%
Missing130
Missing (%)46.3%
Infinite0
Infinite (%)0.0%
Mean2.437086093
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2025-03-05T09:47:28.976438image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile5
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.606553906
Coefficient of variation (CV)0.6592109777
Kurtosis1.997654241
Mean2.437086093
Median Absolute Deviation (MAD)1
Skewness1.381253267
Sum368
Variance2.581015453
MonotonicityNot monotonic
2025-03-05T09:47:29.223547image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 54
19.2%
2 43
 
15.3%
4 19
 
6.8%
3 18
 
6.4%
5 12
 
4.3%
8 4
 
1.4%
6 1
 
0.4%
(Missing) 130
46.3%
ValueCountFrequency (%)
1 54
19.2%
2 43
15.3%
3 18
 
6.4%
4 19
 
6.8%
5 12
 
4.3%
ValueCountFrequency (%)
8 4
 
1.4%
6 1
 
0.4%
5 12
4.3%
4 19
6.8%
3 18
6.4%

F01_6
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: They think it is important to do lots of different things in life. They always look for new things to try

Distinct7
Distinct (%)4.6%
Missing129
Missing (%)45.9%
Infinite0
Infinite (%)0.0%
Mean2.598684211
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2025-03-05T09:47:29.464726image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q34
95-th percentile5
Maximum8
Range7
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.632695202
Coefficient of variation (CV)0.6282776472
Kurtosis1.2795348
Mean2.598684211
Median Absolute Deviation (MAD)1
Skewness1.130896304
Sum395
Variance2.665693621
MonotonicityNot monotonic
2025-03-05T09:47:29.711873image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 49
 
17.4%
2 40
 
14.2%
4 29
 
10.3%
3 17
 
6.0%
5 11
 
3.9%
8 4
 
1.4%
6 2
 
0.7%
(Missing) 129
45.9%
ValueCountFrequency (%)
1 49
17.4%
2 40
14.2%
3 17
 
6.0%
4 29
10.3%
5 11
 
3.9%
ValueCountFrequency (%)
8 4
 
1.4%
6 2
 
0.7%
5 11
 
3.9%
4 29
10.3%
3 17
6.0%

F01_7
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: They believe that people should do what they're told. They think people should follow rules at all times, even when no-one is watching

Distinct8
Distinct (%)5.3%
Missing129
Missing (%)45.9%
Infinite0
Infinite (%)0.0%
Mean3.888157895
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2025-03-05T09:47:29.954220image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median4
Q35
95-th percentile7
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.705267811
Coefficient of variation (CV)0.4385798769
Kurtosis-0.266979002
Mean3.888157895
Median Absolute Deviation (MAD)1
Skewness0.3147013814
Sum591
Variance2.907938306
MonotonicityNot monotonic
2025-03-05T09:47:30.208383image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
4 35
 
12.5%
3 35
 
12.5%
5 24
 
8.5%
2 18
 
6.4%
6 17
 
6.0%
1 13
 
4.6%
7 5
 
1.8%
8 5
 
1.8%
(Missing) 129
45.9%
ValueCountFrequency (%)
1 13
 
4.6%
2 18
6.4%
3 35
12.5%
4 35
12.5%
5 24
8.5%
ValueCountFrequency (%)
8 5
 
1.8%
7 5
 
1.8%
6 17
6.0%
5 24
8.5%
4 35
12.5%

F01_8
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: It is important to them to listen to people who are different from them. Even when he disagrees with them, they still want to understand them

Distinct7
Distinct (%)4.6%
Missing129
Missing (%)45.9%
Infinite0
Infinite (%)0.0%
Mean2.348684211
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2025-03-05T09:47:30.453760image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile5
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.308453758
Coefficient of variation (CV)0.5571007598
Kurtosis1.86730646
Mean2.348684211
Median Absolute Deviation (MAD)1
Skewness1.19867767
Sum357
Variance1.712051237
MonotonicityNot monotonic
2025-03-05T09:47:30.696627image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
2 52
18.5%
1 45
 
16.0%
3 27
 
9.6%
4 19
 
6.8%
5 5
 
1.8%
6 3
 
1.1%
8 1
 
0.4%
(Missing) 129
45.9%
ValueCountFrequency (%)
1 45
16.0%
2 52
18.5%
3 27
9.6%
4 19
 
6.8%
5 5
 
1.8%
ValueCountFrequency (%)
8 1
 
0.4%
6 3
 
1.1%
5 5
 
1.8%
4 19
6.8%
3 27
9.6%

F01_9
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: They think it's important not to ask for more than what you have. They believe that people should be satisfied with what they have

Distinct8
Distinct (%)5.3%
Missing131
Missing (%)46.6%
Infinite0
Infinite (%)0.0%
Mean4.293333333
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2025-03-05T09:47:30.938966image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median4
Q35
95-th percentile7
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.841164888
Coefficient of variation (CV)0.4288427533
Kurtosis-0.6992073414
Mean4.293333333
Median Absolute Deviation (MAD)1
Skewness-0.01555002278
Sum644
Variance3.389888143
MonotonicityNot monotonic
2025-03-05T09:47:31.195490image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
5 34
 
12.1%
4 30
 
10.7%
3 20
 
7.1%
2 17
 
6.0%
7 16
 
5.7%
6 16
 
5.7%
1 12
 
4.3%
8 5
 
1.8%
(Missing) 131
46.6%
ValueCountFrequency (%)
1 12
 
4.3%
2 17
6.0%
3 20
7.1%
4 30
10.7%
5 34
12.1%
ValueCountFrequency (%)
8 5
 
1.8%
7 16
5.7%
6 16
5.7%
5 34
12.1%
4 30
10.7%

F01_10
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: They seek every chance he can to have fun. It is important to them to do things that give them pleasure

Distinct8
Distinct (%)5.4%
Missing132
Missing (%)47.0%
Infinite0
Infinite (%)0.0%
Mean3.026845638
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2025-03-05T09:47:31.446831image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile6
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.593679699
Coefficient of variation (CV)0.5265150225
Kurtosis0.1277927383
Mean3.026845638
Median Absolute Deviation (MAD)1
Skewness0.66618655
Sum451
Variance2.539814983
MonotonicityNot monotonic
2025-03-05T09:47:31.692408image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
2 34
 
12.1%
4 33
 
11.7%
3 30
 
10.7%
1 29
 
10.3%
5 13
 
4.6%
7 5
 
1.8%
6 4
 
1.4%
8 1
 
0.4%
(Missing) 132
47.0%
ValueCountFrequency (%)
1 29
10.3%
2 34
12.1%
3 30
10.7%
4 33
11.7%
5 13
 
4.6%
ValueCountFrequency (%)
8 1
 
0.4%
7 5
 
1.8%
6 4
 
1.4%
5 13
 
4.6%
4 33
11.7%

F01_11
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: It is important to them to make their own decisions about what he does. They like to be free to plan and to choose their activities for themself

Distinct6
Distinct (%)4.0%
Missing131
Missing (%)46.6%
Infinite0
Infinite (%)0.0%
Mean2.073333333
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2025-03-05T09:47:31.939445image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile4
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.300989126
Coefficient of variation (CV)0.6274867169
Kurtosis4.530313238
Mean2.073333333
Median Absolute Deviation (MAD)1
Skewness1.771430534
Sum311
Variance1.692572707
MonotonicityNot monotonic
2025-03-05T09:47:32.187801image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 63
22.4%
2 46
 
16.4%
3 21
 
7.5%
4 13
 
4.6%
5 5
 
1.8%
8 2
 
0.7%
(Missing) 131
46.6%
ValueCountFrequency (%)
1 63
22.4%
2 46
16.4%
3 21
 
7.5%
4 13
 
4.6%
5 5
 
1.8%
ValueCountFrequency (%)
8 2
 
0.7%
5 5
 
1.8%
4 13
 
4.6%
3 21
7.5%
2 46
16.4%

F01_12
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: It's very important to them to help the people around them. They want to care for other people

Distinct6
Distinct (%)4.0%
Missing132
Missing (%)47.0%
Infinite0
Infinite (%)0.0%
Mean1.973154362
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2025-03-05T09:47:32.432419image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile4
Maximum8
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.126740748
Coefficient of variation (CV)0.5710352769
Kurtosis4.838974337
Mean1.973154362
Median Absolute Deviation (MAD)1
Skewness1.719464284
Sum294
Variance1.269544712
MonotonicityNot monotonic
2025-03-05T09:47:32.686571image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 60
21.4%
2 57
20.3%
4 15
 
5.3%
3 14
 
5.0%
5 2
 
0.7%
8 1
 
0.4%
(Missing) 132
47.0%
ValueCountFrequency (%)
1 60
21.4%
2 57
20.3%
3 14
 
5.0%
4 15
 
5.3%
5 2
 
0.7%
ValueCountFrequency (%)
8 1
 
0.4%
5 2
 
0.7%
4 15
 
5.3%
3 14
 
5.0%
2 57
20.3%

F01_13
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: Being very successful is important to them. They like to impress other people

Distinct8
Distinct (%)5.4%
Missing132
Missing (%)47.0%
Infinite0
Infinite (%)0.0%
Mean3.073825503
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2025-03-05T09:47:32.938612image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile6
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.676925919
Coefficient of variation (CV)0.5455501351
Kurtosis0.446367845
Mean3.073825503
Median Absolute Deviation (MAD)1
Skewness0.7708452637
Sum458
Variance2.812080537
MonotonicityNot monotonic
2025-03-05T09:47:33.202009image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3 37
 
13.2%
1 31
 
11.0%
2 28
 
10.0%
4 26
 
9.3%
5 15
 
5.3%
6 7
 
2.5%
8 4
 
1.4%
7 1
 
0.4%
(Missing) 132
47.0%
ValueCountFrequency (%)
1 31
11.0%
2 28
10.0%
3 37
13.2%
4 26
9.3%
5 15
5.3%
ValueCountFrequency (%)
8 4
 
1.4%
7 1
 
0.4%
6 7
 
2.5%
5 15
5.3%
4 26
9.3%

F01_14
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: It is very important to them that their country is safe. They think the state must be on watch against threats from within and without

Distinct8
Distinct (%)5.3%
Missing131
Missing (%)46.6%
Infinite0
Infinite (%)0.0%
Mean2.753333333
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2025-03-05T09:47:33.458577image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q34
95-th percentile7.55
Maximum8
Range7
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.899970564
Coefficient of variation (CV)0.6900619481
Kurtosis1.223513103
Mean2.753333333
Median Absolute Deviation (MAD)1
Skewness1.336163852
Sum413
Variance3.609888143
MonotonicityNot monotonic
2025-03-05T09:47:33.711306image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
2 46
 
16.4%
1 44
 
15.7%
4 19
 
6.8%
3 18
 
6.4%
5 10
 
3.6%
8 8
 
2.8%
7 3
 
1.1%
6 2
 
0.7%
(Missing) 131
46.6%
ValueCountFrequency (%)
1 44
15.7%
2 46
16.4%
3 18
 
6.4%
4 19
6.8%
5 10
 
3.6%
ValueCountFrequency (%)
8 8
2.8%
7 3
 
1.1%
6 2
 
0.7%
5 10
3.6%
4 19
6.8%

F01_15
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: They like to take risks. They are always looking for adventures

Distinct8
Distinct (%)5.3%
Missing131
Missing (%)46.6%
Infinite0
Infinite (%)0.0%
Mean3.726666667
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2025-03-05T09:47:33.960618image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12.25
median4
Q35
95-th percentile7
Maximum8
Range7
Interquartile range (IQR)2.75

Descriptive statistics

Standard deviation1.654348213
Coefficient of variation (CV)0.4439217029
Kurtosis-0.2825037466
Mean3.726666667
Median Absolute Deviation (MAD)1
Skewness0.3732569859
Sum559
Variance2.736868009
MonotonicityNot monotonic
2025-03-05T09:47:34.215061image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
4 34
 
12.1%
3 32
 
11.4%
2 26
 
9.3%
5 25
 
8.9%
1 12
 
4.3%
6 12
 
4.3%
7 6
 
2.1%
8 3
 
1.1%
(Missing) 131
46.6%
ValueCountFrequency (%)
1 12
 
4.3%
2 26
9.3%
3 32
11.4%
4 34
12.1%
5 25
8.9%
ValueCountFrequency (%)
8 3
 
1.1%
7 6
 
2.1%
6 12
 
4.3%
5 25
8.9%
4 34
12.1%

F01_16
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: It is important to them always to behave properly. They want to avoid doing to anything people would say is wrong

Distinct8
Distinct (%)5.4%
Missing132
Missing (%)47.0%
Infinite0
Infinite (%)0.0%
Mean3.33557047
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2025-03-05T09:47:34.470386image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile7
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.74220557
Coefficient of variation (CV)0.5223111265
Kurtosis0.2577580283
Mean3.33557047
Median Absolute Deviation (MAD)1
Skewness0.8704912236
Sum497
Variance3.035280247
MonotonicityNot monotonic
2025-03-05T09:47:34.712892image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
2 42
 
14.9%
3 31
 
11.0%
4 30
 
10.7%
1 16
 
5.7%
5 12
 
4.3%
7 8
 
2.8%
6 6
 
2.1%
8 4
 
1.4%
(Missing) 132
47.0%
ValueCountFrequency (%)
1 16
 
5.7%
2 42
14.9%
3 31
11.0%
4 30
10.7%
5 12
 
4.3%
ValueCountFrequency (%)
8 4
 
1.4%
7 8
 
2.8%
6 6
 
2.1%
5 12
 
4.3%
4 30
10.7%

F01_17
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: It is important to them to be in charge and tell others what to do. They want people to do what he says

Distinct8
Distinct (%)5.4%
Missing133
Missing (%)47.3%
Infinite0
Infinite (%)0.0%
Mean4.081081081
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2025-03-05T09:47:34.957925image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median4
Q35
95-th percentile7
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.720281236
Coefficient of variation (CV)0.4215258658
Kurtosis-0.1839450455
Mean4.081081081
Median Absolute Deviation (MAD)1
Skewness0.173522153
Sum604
Variance2.959367531
MonotonicityNot monotonic
2025-03-05T09:47:35.210990image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
5 37
 
13.2%
4 37
 
13.2%
3 23
 
8.2%
2 16
 
5.7%
1 12
 
4.3%
6 9
 
3.2%
7 8
 
2.8%
8 6
 
2.1%
(Missing) 133
47.3%
ValueCountFrequency (%)
1 12
 
4.3%
2 16
5.7%
3 23
8.2%
4 37
13.2%
5 37
13.2%
ValueCountFrequency (%)
8 6
 
2.1%
7 8
 
2.8%
6 9
 
3.2%
5 37
13.2%
4 37
13.2%

F01_18
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: It is important to them to be loyal to their friends. They want to devote themself to people close to them

Distinct6
Distinct (%)4.1%
Missing133
Missing (%)47.3%
Infinite0
Infinite (%)0.0%
Mean1.878378378
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2025-03-05T09:47:35.455473image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1.5
Q32
95-th percentile4
Maximum8
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.177483801
Coefficient of variation (CV)0.6268618795
Kurtosis4.592017684
Mean1.878378378
Median Absolute Deviation (MAD)0.5
Skewness1.810543311
Sum278
Variance1.386468101
MonotonicityNot monotonic
2025-03-05T09:47:35.703523image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 74
26.3%
2 42
 
14.9%
3 16
 
5.7%
4 11
 
3.9%
5 4
 
1.4%
8 1
 
0.4%
(Missing) 133
47.3%
ValueCountFrequency (%)
1 74
26.3%
2 42
14.9%
3 16
 
5.7%
4 11
 
3.9%
5 4
 
1.4%
ValueCountFrequency (%)
8 1
 
0.4%
5 4
 
1.4%
4 11
 
3.9%
3 16
 
5.7%
2 42
14.9%

F01_19
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: They strongly believe that people should care for nature. Looking after the environment is important to them

Distinct6
Distinct (%)4.0%
Missing132
Missing (%)47.0%
Infinite0
Infinite (%)0.0%
Mean1.738255034
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2025-03-05T09:47:35.949997image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile4
Maximum8
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.099114958
Coefficient of variation (CV)0.6323093775
Kurtosis6.501813055
Mean1.738255034
Median Absolute Deviation (MAD)0
Skewness2.053205848
Sum259
Variance1.208053691
MonotonicityNot monotonic
2025-03-05T09:47:36.192385image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 86
30.6%
2 33
 
11.7%
3 18
 
6.4%
4 10
 
3.6%
8 1
 
0.4%
5 1
 
0.4%
(Missing) 132
47.0%
ValueCountFrequency (%)
1 86
30.6%
2 33
 
11.7%
3 18
 
6.4%
4 10
 
3.6%
5 1
 
0.4%
ValueCountFrequency (%)
8 1
 
0.4%
5 1
 
0.4%
4 10
 
3.6%
3 18
6.4%
2 33
11.7%

F01_20
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: Religious belief is important to them. They try hard to do what their religion requires

Distinct8
Distinct (%)5.4%
Missing134
Missing (%)47.7%
Infinite0
Infinite (%)0.0%
Mean4.183673469
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2025-03-05T09:47:36.435598image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median4
Q36
95-th percentile7
Maximum8
Range7
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.027281087
Coefficient of variation (CV)0.4845696256
Kurtosis-1.082343475
Mean4.183673469
Median Absolute Deviation (MAD)2
Skewness0.09121951764
Sum615
Variance4.109868605
MonotonicityNot monotonic
2025-03-05T09:47:36.677287image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
4 28
 
10.0%
3 24
 
8.5%
6 22
 
7.8%
7 20
 
7.1%
2 19
 
6.8%
1 16
 
5.7%
5 13
 
4.6%
8 5
 
1.8%
(Missing) 134
47.7%
ValueCountFrequency (%)
1 16
5.7%
2 19
6.8%
3 24
8.5%
4 28
10.0%
5 13
4.6%
ValueCountFrequency (%)
8 5
 
1.8%
7 20
7.1%
6 22
7.8%
5 13
4.6%
4 28
10.0%

F01_21
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: It is important to them that things be organized and clean. They do not want things to be a mess

Distinct7
Distinct (%)4.7%
Missing132
Missing (%)47.0%
Infinite0
Infinite (%)0.0%
Mean2.389261745
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2025-03-05T09:47:37.171436image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile5
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.323955016
Coefficient of variation (CV)0.5541272397
Kurtosis1.41359797
Mean2.389261745
Median Absolute Deviation (MAD)1
Skewness1.039567333
Sum356
Variance1.752856884
MonotonicityNot monotonic
2025-03-05T09:47:37.408313image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 46
 
16.4%
2 42
 
14.9%
3 33
 
11.7%
4 18
 
6.4%
5 7
 
2.5%
6 2
 
0.7%
8 1
 
0.4%
(Missing) 132
47.0%
ValueCountFrequency (%)
1 46
16.4%
2 42
14.9%
3 33
11.7%
4 18
 
6.4%
5 7
 
2.5%
ValueCountFrequency (%)
8 1
 
0.4%
6 2
 
0.7%
5 7
 
2.5%
4 18
6.4%
3 33
11.7%

F01_22
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: They think it is important to be interested in things. They like to be curious and to try to understand all sorts of things

Distinct6
Distinct (%)4.0%
Missing132
Missing (%)47.0%
Infinite0
Infinite (%)0.0%
Mean2.161073826
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2025-03-05T09:47:37.645427image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile4
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.214034563
Coefficient of variation (CV)0.5617737574
Kurtosis2.59426356
Mean2.161073826
Median Absolute Deviation (MAD)1
Skewness1.293577491
Sum322
Variance1.47387992
MonotonicityNot monotonic
2025-03-05T09:47:37.889919image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 53
18.9%
2 51
 
18.1%
3 21
 
7.5%
4 19
 
6.8%
5 4
 
1.4%
8 1
 
0.4%
(Missing) 132
47.0%
ValueCountFrequency (%)
1 53
18.9%
2 51
18.1%
3 21
 
7.5%
4 19
 
6.8%
5 4
 
1.4%
ValueCountFrequency (%)
8 1
 
0.4%
5 4
 
1.4%
4 19
 
6.8%
3 21
7.5%
2 51
18.1%

F01_23
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: They believe all the worlds' people should live in harmony. Promoting peace among all groups in the world is important to them

Distinct7
Distinct (%)4.7%
Missing132
Missing (%)47.0%
Infinite0
Infinite (%)0.0%
Mean2.261744966
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2025-03-05T09:47:38.137235image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile5
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.401716964
Coefficient of variation (CV)0.6197502305
Kurtosis3.055094747
Mean2.261744966
Median Absolute Deviation (MAD)1
Skewness1.521840766
Sum337
Variance1.964810448
MonotonicityNot monotonic
2025-03-05T09:47:38.386543image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 54
19.2%
2 46
 
16.4%
3 23
 
8.2%
4 16
 
5.7%
5 7
 
2.5%
8 2
 
0.7%
7 1
 
0.4%
(Missing) 132
47.0%
ValueCountFrequency (%)
1 54
19.2%
2 46
16.4%
3 23
8.2%
4 16
 
5.7%
5 7
 
2.5%
ValueCountFrequency (%)
8 2
 
0.7%
7 1
 
0.4%
5 7
 
2.5%
4 16
5.7%
3 23
8.2%

F01_24
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: They think it is important to be ambitious. They want to show how capable he is

Distinct8
Distinct (%)5.4%
Missing133
Missing (%)47.3%
Infinite0
Infinite (%)0.0%
Mean3.175675676
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2025-03-05T09:47:38.629119image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile7
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.922711437
Coefficient of variation (CV)0.6054495587
Kurtosis-0.02703522324
Mean3.175675676
Median Absolute Deviation (MAD)1
Skewness0.8525822452
Sum470
Variance3.696819268
MonotonicityNot monotonic
2025-03-05T09:47:38.877572image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1 33
 
11.7%
3 32
 
11.4%
2 30
 
10.7%
4 23
 
8.2%
7 12
 
4.3%
5 11
 
3.9%
8 4
 
1.4%
6 3
 
1.1%
(Missing) 133
47.3%
ValueCountFrequency (%)
1 33
11.7%
2 30
10.7%
3 32
11.4%
4 23
8.2%
5 11
 
3.9%
ValueCountFrequency (%)
8 4
 
1.4%
7 12
4.3%
6 3
 
1.1%
5 11
3.9%
4 23
8.2%

F01_25
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: They believe it is best to do things in traditional ways. It is important to them to follow the customs he has learned

Distinct8
Distinct (%)5.4%
Missing132
Missing (%)47.0%
Infinite0
Infinite (%)0.0%
Mean4.409395973
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2025-03-05T09:47:39.120078image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median4
Q35
95-th percentile8
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.838085898
Coefficient of variation (CV)0.4168566191
Kurtosis-0.373745737
Mean4.409395973
Median Absolute Deviation (MAD)1
Skewness0.2190768773
Sum657
Variance3.378559768
MonotonicityNot monotonic
2025-03-05T09:47:39.372570image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
5 38
 
13.5%
4 31
 
11.0%
3 29
 
10.3%
7 12
 
4.3%
8 12
 
4.3%
1 10
 
3.6%
2 9
 
3.2%
6 8
 
2.8%
(Missing) 132
47.0%
ValueCountFrequency (%)
1 10
 
3.6%
2 9
 
3.2%
3 29
10.3%
4 31
11.0%
5 38
13.5%
ValueCountFrequency (%)
8 12
 
4.3%
7 12
 
4.3%
6 8
 
2.8%
5 38
13.5%
4 31
11.0%

F01_26
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: Enjoying life's pleasures is important to them. They like to 'spoil' themself

Distinct8
Distinct (%)5.4%
Missing132
Missing (%)47.0%
Infinite0
Infinite (%)0.0%
Mean2.67114094
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2025-03-05T09:47:39.619101image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q34
95-th percentile6
Maximum8
Range7
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.653999873
Coefficient of variation (CV)0.6192110079
Kurtosis0.9599879768
Mean2.67114094
Median Absolute Deviation (MAD)1
Skewness1.110578317
Sum398
Variance2.735715581
MonotonicityNot monotonic
2025-03-05T09:47:39.861885image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1 43
 
15.3%
2 41
 
14.6%
3 24
 
8.5%
4 22
 
7.8%
5 8
 
2.8%
6 7
 
2.5%
8 3
 
1.1%
7 1
 
0.4%
(Missing) 132
47.0%
ValueCountFrequency (%)
1 43
15.3%
2 41
14.6%
3 24
8.5%
4 22
7.8%
5 8
 
2.8%
ValueCountFrequency (%)
8 3
 
1.1%
7 1
 
0.4%
6 7
 
2.5%
5 8
 
2.8%
4 22
7.8%

F01_27
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: It is important to them to respond to the needs of others. They try to support those he knows

Distinct8
Distinct (%)5.4%
Missing133
Missing (%)47.3%
Infinite0
Infinite (%)0.0%
Mean2.364864865
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2025-03-05T09:47:40.100305image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile4
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.262481352
Coefficient of variation (CV)0.5338492576
Kurtosis3.034770578
Mean2.364864865
Median Absolute Deviation (MAD)1
Skewness1.35830141
Sum350
Variance1.593859165
MonotonicityNot monotonic
2025-03-05T09:47:40.346562image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
2 53
 
18.9%
1 39
 
13.9%
3 32
 
11.4%
4 18
 
6.4%
6 2
 
0.7%
5 2
 
0.7%
8 1
 
0.4%
7 1
 
0.4%
(Missing) 133
47.3%
ValueCountFrequency (%)
1 39
13.9%
2 53
18.9%
3 32
11.4%
4 18
 
6.4%
5 2
 
0.7%
ValueCountFrequency (%)
8 1
 
0.4%
7 1
 
0.4%
6 2
 
0.7%
5 2
 
0.7%
4 18
6.4%

F01_28
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: It is important to them to be obedient. They believe he should always show respect to their parents and to older people

Distinct8
Distinct (%)5.4%
Missing132
Missing (%)47.0%
Infinite0
Infinite (%)0.0%
Mean2.805369128
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2025-03-05T09:47:40.588795image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q34
95-th percentile6
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.584032881
Coefficient of variation (CV)0.5646432996
Kurtosis1.344381749
Mean2.805369128
Median Absolute Deviation (MAD)1
Skewness1.173322424
Sum418
Variance2.509160167
MonotonicityNot monotonic
2025-03-05T09:47:40.830533image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
2 45
 
16.0%
3 35
 
12.5%
1 30
 
10.7%
4 22
 
7.8%
5 6
 
2.1%
7 5
 
1.8%
6 4
 
1.4%
8 2
 
0.7%
(Missing) 132
47.0%
ValueCountFrequency (%)
1 30
10.7%
2 45
16.0%
3 35
12.5%
4 22
7.8%
5 6
 
2.1%
ValueCountFrequency (%)
8 2
 
0.7%
7 5
 
1.8%
6 4
 
1.4%
5 6
 
2.1%
4 22
7.8%

F01_29
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: They want everyone to be treated justly, even people he doesn't know. It is important to them to protect the weak in society

Distinct7
Distinct (%)4.7%
Missing132
Missing (%)47.0%
Infinite0
Infinite (%)0.0%
Mean2.087248322
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2025-03-05T09:47:41.071532image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile4
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.319975869
Coefficient of variation (CV)0.6324000146
Kurtosis4.475641088
Mean2.087248322
Median Absolute Deviation (MAD)1
Skewness1.802834846
Sum311
Variance1.742336296
MonotonicityNot monotonic
2025-03-05T09:47:41.335978image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 61
21.7%
2 49
 
17.4%
3 18
 
6.4%
4 14
 
5.0%
5 4
 
1.4%
8 2
 
0.7%
6 1
 
0.4%
(Missing) 132
47.0%
ValueCountFrequency (%)
1 61
21.7%
2 49
17.4%
3 18
 
6.4%
4 14
 
5.0%
5 4
 
1.4%
ValueCountFrequency (%)
8 2
 
0.7%
6 1
 
0.4%
5 4
 
1.4%
4 14
5.0%
3 18
6.4%

F01_30
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: They like surprises. It is important to them to have an exciting life

Distinct8
Distinct (%)5.4%
Missing132
Missing (%)47.0%
Infinite0
Infinite (%)0.0%
Mean2.859060403
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2025-03-05T09:47:41.582754image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median3
Q34
95-th percentile6
Maximum8
Range7
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.684669084
Coefficient of variation (CV)0.5892387171
Kurtosis0.4590316908
Mean2.859060403
Median Absolute Deviation (MAD)1
Skewness0.8780852283
Sum426
Variance2.838109922
MonotonicityNot monotonic
2025-03-05T09:47:41.824454image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1 39
 
13.9%
2 34
 
12.1%
4 28
 
10.0%
3 26
 
9.3%
5 11
 
3.9%
6 6
 
2.1%
8 3
 
1.1%
7 2
 
0.7%
(Missing) 132
47.0%
ValueCountFrequency (%)
1 39
13.9%
2 34
12.1%
3 26
9.3%
4 28
10.0%
5 11
 
3.9%
ValueCountFrequency (%)
8 3
 
1.1%
7 2
 
0.7%
6 6
 
2.1%
5 11
 
3.9%
4 28
10.0%

F01_31
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: They try hard to avoid getting sick. Staying healthy is very important to them

Distinct7
Distinct (%)4.7%
Missing132
Missing (%)47.0%
Infinite0
Infinite (%)0.0%
Mean2.67114094
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2025-03-05T09:47:42.061709image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q34
95-th percentile5
Maximum8
Range7
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.522102711
Coefficient of variation (CV)0.5698324219
Kurtosis0.7594105832
Mean2.67114094
Median Absolute Deviation (MAD)1
Skewness0.9333476787
Sum398
Variance2.316796662
MonotonicityNot monotonic
2025-03-05T09:47:42.302637image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
2 42
 
14.9%
1 39
 
13.9%
4 26
 
9.3%
3 25
 
8.9%
5 10
 
3.6%
6 5
 
1.8%
8 2
 
0.7%
(Missing) 132
47.0%
ValueCountFrequency (%)
1 39
13.9%
2 42
14.9%
3 25
8.9%
4 26
9.3%
5 10
 
3.6%
ValueCountFrequency (%)
8 2
 
0.7%
6 5
 
1.8%
5 10
 
3.6%
4 26
9.3%
3 25
8.9%

F01_32
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: Getting ahead in life is important to them. They strive to do better than others

Distinct8
Distinct (%)5.4%
Missing132
Missing (%)47.0%
Infinite0
Infinite (%)0.0%
Mean2.530201342
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2025-03-05T09:47:42.541168image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile5
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.440519083
Coefficient of variation (CV)0.5693298234
Kurtosis1.180633012
Mean2.530201342
Median Absolute Deviation (MAD)1
Skewness1.031685704
Sum377
Variance2.075095229
MonotonicityNot monotonic
2025-03-05T09:47:42.785177image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1 43
 
15.3%
2 41
 
14.6%
3 29
 
10.3%
4 24
 
8.5%
5 7
 
2.5%
7 2
 
0.7%
6 2
 
0.7%
8 1
 
0.4%
(Missing) 132
47.0%
ValueCountFrequency (%)
1 43
15.3%
2 41
14.6%
3 29
10.3%
4 24
8.5%
5 7
 
2.5%
ValueCountFrequency (%)
8 1
 
0.4%
7 2
 
0.7%
6 2
 
0.7%
5 7
 
2.5%
4 24
8.5%

F01_33
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: Forgiving people who might have wronged them is important to them. They try to see what is good in them and not to hold a grudge

Distinct8
Distinct (%)5.4%
Missing132
Missing (%)47.0%
Infinite0
Infinite (%)0.0%
Mean2.979865772
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2025-03-05T09:47:43.026627image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile6
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.678439585
Coefficient of variation (CV)0.5632601311
Kurtosis0.564452967
Mean2.979865772
Median Absolute Deviation (MAD)1
Skewness0.9011766993
Sum444
Variance2.817159441
MonotonicityNot monotonic
2025-03-05T09:47:43.293586image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
2 37
 
13.2%
1 31
 
11.0%
3 30
 
10.7%
4 28
 
10.0%
5 11
 
3.9%
6 5
 
1.8%
7 4
 
1.4%
8 3
 
1.1%
(Missing) 132
47.0%
ValueCountFrequency (%)
1 31
11.0%
2 37
13.2%
3 30
10.7%
4 28
10.0%
5 11
 
3.9%
ValueCountFrequency (%)
8 3
 
1.1%
7 4
 
1.4%
6 5
 
1.8%
5 11
 
3.9%
4 28
10.0%

F01_34
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: It is important to them to be independent. They like to rely on themself

Distinct7
Distinct (%)4.7%
Missing133
Missing (%)47.3%
Infinite0
Infinite (%)0.0%
Mean2.148648649
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2025-03-05T09:47:43.551552image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile4
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.300783986
Coefficient of variation (CV)0.6053963204
Kurtosis4.498696841
Mean2.148648649
Median Absolute Deviation (MAD)1
Skewness1.750137381
Sum318
Variance1.692038978
MonotonicityNot monotonic
2025-03-05T09:47:43.800445image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 54
19.2%
2 53
 
18.9%
3 19
 
6.8%
4 16
 
5.7%
5 3
 
1.1%
8 2
 
0.7%
6 1
 
0.4%
(Missing) 133
47.3%
ValueCountFrequency (%)
1 54
19.2%
2 53
18.9%
3 19
 
6.8%
4 16
 
5.7%
5 3
 
1.1%
ValueCountFrequency (%)
8 2
 
0.7%
6 1
 
0.4%
5 3
 
1.1%
4 16
5.7%
3 19
6.8%

F01_35
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: Having a stable government is important to them. They are concerned that the social order be protected

Distinct7
Distinct (%)4.7%
Missing133
Missing (%)47.3%
Infinite0
Infinite (%)0.0%
Mean2.601351351
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2025-03-05T09:47:44.042486image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile8
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.787103707
Coefficient of variation (CV)0.6869905158
Kurtosis2.69084112
Mean2.601351351
Median Absolute Deviation (MAD)1
Skewness1.669562777
Sum385
Variance3.193739658
MonotonicityNot monotonic
2025-03-05T09:47:44.298330image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
2 50
 
17.8%
1 43
 
15.3%
4 21
 
7.5%
3 20
 
7.1%
8 9
 
3.2%
5 4
 
1.4%
6 1
 
0.4%
(Missing) 133
47.3%
ValueCountFrequency (%)
1 43
15.3%
2 50
17.8%
3 20
 
7.1%
4 21
7.5%
5 4
 
1.4%
ValueCountFrequency (%)
8 9
3.2%
6 1
 
0.4%
5 4
 
1.4%
4 21
7.5%
3 20
7.1%

F01_36
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: It is important to them to be polite to other people all the time. They try never to disturb or irritate other expectations

Distinct8
Distinct (%)5.4%
Missing132
Missing (%)47.0%
Infinite0
Infinite (%)0.0%
Mean2.208053691
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2025-03-05T09:47:44.548767image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile5
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.420292927
Coefficient of variation (CV)0.6432329667
Kurtosis3.302424646
Mean2.208053691
Median Absolute Deviation (MAD)1
Skewness1.662091048
Sum329
Variance2.017231997
MonotonicityNot monotonic
2025-03-05T09:47:44.801723image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1 56
19.9%
2 51
 
18.1%
3 17
 
6.0%
4 14
 
5.0%
5 7
 
2.5%
8 2
 
0.7%
6 1
 
0.4%
7 1
 
0.4%
(Missing) 132
47.0%
ValueCountFrequency (%)
1 56
19.9%
2 51
18.1%
3 17
 
6.0%
4 14
 
5.0%
5 7
 
2.5%
ValueCountFrequency (%)
8 2
 
0.7%
7 1
 
0.4%
6 1
 
0.4%
5 7
2.5%
4 14
5.0%

F01_37
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: They really want to enjoy life. Having a good time is very important to them

Distinct7
Distinct (%)4.7%
Missing131
Missing (%)46.6%
Infinite0
Infinite (%)0.0%
Mean2.146666667
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2025-03-05T09:47:45.040801image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile4
Maximum8
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.494449088
Coefficient of variation (CV)0.6961719353
Kurtosis4.500323506
Mean2.146666667
Median Absolute Deviation (MAD)1
Skewness1.983171492
Sum322
Variance2.233378076
MonotonicityNot monotonic
2025-03-05T09:47:45.288568image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 62
22.1%
2 51
 
18.1%
4 18
 
6.4%
3 12
 
4.3%
8 3
 
1.1%
6 2
 
0.7%
7 2
 
0.7%
(Missing) 131
46.6%
ValueCountFrequency (%)
1 62
22.1%
2 51
18.1%
3 12
 
4.3%
4 18
 
6.4%
6 2
 
0.7%
ValueCountFrequency (%)
8 3
 
1.1%
7 2
 
0.7%
6 2
 
0.7%
4 18
6.4%
3 12
4.3%

F01_38
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: It is important to them to be humble and modest. They try not to draw to themself

Distinct5
Distinct (%)3.4%
Missing133
Missing (%)47.3%
Infinite0
Infinite (%)0.0%
Mean2.040540541
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2025-03-05T09:47:45.527662image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32.25
95-th percentile4
Maximum8
Range7
Interquartile range (IQR)1.25

Descriptive statistics

Standard deviation1.24473519
Coefficient of variation (CV)0.6100026757
Kurtosis8.796707753
Mean2.040540541
Median Absolute Deviation (MAD)1
Skewness2.389602038
Sum302
Variance1.549365692
MonotonicityNot monotonic
2025-03-05T09:47:45.768772image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 56
19.9%
2 55
19.6%
3 24
 
8.5%
4 10
 
3.6%
8 3
 
1.1%
(Missing) 133
47.3%
ValueCountFrequency (%)
1 56
19.9%
2 55
19.6%
3 24
8.5%
4 10
 
3.6%
8 3
 
1.1%
ValueCountFrequency (%)
8 3
 
1.1%
4 10
 
3.6%
3 24
8.5%
2 55
19.6%
1 56
19.9%

F01_39
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: They always want to be the one who makes the decisions. They like to be the leader

Distinct8
Distinct (%)5.3%
Missing131
Missing (%)46.6%
Infinite0
Infinite (%)0.0%
Mean3.326666667
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2025-03-05T09:47:46.008042image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile7
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.855507553
Coefficient of variation (CV)0.5577678014
Kurtosis-0.03891666767
Mean3.326666667
Median Absolute Deviation (MAD)1
Skewness0.667649828
Sum499
Variance3.442908277
MonotonicityNot monotonic
2025-03-05T09:47:46.256745image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3 32
 
11.4%
1 30
 
10.7%
4 30
 
10.7%
2 24
 
8.5%
5 15
 
5.3%
6 9
 
3.2%
8 6
 
2.1%
7 4
 
1.4%
(Missing) 131
46.6%
ValueCountFrequency (%)
1 30
10.7%
2 24
8.5%
3 32
11.4%
4 30
10.7%
5 15
5.3%
ValueCountFrequency (%)
8 6
 
2.1%
7 4
 
1.4%
6 9
 
3.2%
5 15
5.3%
4 30
10.7%

F01_40
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: It is important to them to adapt to nature and to fit into it. They believe that people should not change nature

Distinct8
Distinct (%)5.3%
Missing130
Missing (%)46.3%
Infinite0
Infinite (%)0.0%
Mean2.470198675
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2025-03-05T09:47:46.500701image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile5
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.603362912
Coefficient of variation (CV)0.6490825729
Kurtosis2.22348274
Mean2.470198675
Median Absolute Deviation (MAD)1
Skewness1.37250307
Sum373
Variance2.570772627
MonotonicityNot monotonic
2025-03-05T09:47:46.743963image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1 56
19.9%
3 37
 
13.2%
2 28
 
10.0%
4 15
 
5.3%
5 9
 
3.2%
8 4
 
1.4%
6 1
 
0.4%
7 1
 
0.4%
(Missing) 130
46.3%
ValueCountFrequency (%)
1 56
19.9%
2 28
10.0%
3 37
13.2%
4 15
 
5.3%
5 9
 
3.2%
ValueCountFrequency (%)
8 4
 
1.4%
7 1
 
0.4%
6 1
 
0.4%
5 9
3.2%
4 15
5.3%

interviewtime
Real number (ℝ)

Zeros 

interviewtime

Distinct244
Distinct (%)86.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1135.299858
Minimum0
Maximum12826.6
Zeros38
Zeros (%)13.5%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2025-03-05T09:47:47.049502image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q120.49
median844.55
Q31530.49
95-th percentile3052.51
Maximum12826.6
Range12826.6
Interquartile range (IQR)1510

Descriptive statistics

Standard deviation1759.288322
Coefficient of variation (CV)1.549624366
Kurtosis19.39008323
Mean1135.299858
Median Absolute Deviation (MAD)771.31
Skewness3.950373208
Sum319019.26
Variance3095095.4
MonotonicityNot monotonic
2025-03-05T09:47:47.398309image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 38
 
13.5%
825.62 1
 
0.4%
8.15 1
 
0.4%
229.45 1
 
0.4%
300.23 1
 
0.4%
10282.7 1
 
0.4%
155.84 1
 
0.4%
918.5 1
 
0.4%
1183.66 1
 
0.4%
687.34 1
 
0.4%
Other values (234) 234
83.3%
ValueCountFrequency (%)
0.0 38
13.5%
2.55 1
 
0.4%
3.44 1
 
0.4%
4.43 1
 
0.4%
5.03 1
 
0.4%
ValueCountFrequency (%)
12826.6 1
0.4%
11388.1 1
0.4%
10777.2 1
0.4%
10671.2 1
0.4%
10282.7 1
0.4%

GT_A00
Real number (ℝ)

Missing 

nan

Distinct231
Distinct (%)95.1%
Missing38
Missing (%)13.5%
Infinite0
Infinite (%)0.0%
Mean17.35938272
Minimum2.55
Maximum366.74
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2025-03-05T09:47:47.722749image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum2.55
5-th percentile5.031
Q17.65
median10.56
Q314.325
95-th percentile41.711
Maximum366.74
Range364.19
Interquartile range (IQR)6.675

Descriptive statistics

Standard deviation34.96590392
Coefficient of variation (CV)2.014236594
Kurtosis66.69880006
Mean17.35938272
Median Absolute Deviation (MAD)3.22
Skewness7.724601663
Sum4218.33
Variance1222.614437
MonotonicityNot monotonic
2025-03-05T09:47:48.059127image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9.13 3
 
1.1%
7.43 2
 
0.7%
12.26 2
 
0.7%
11.01 2
 
0.7%
7.14 2
 
0.7%
14.59 2
 
0.7%
8.8 2
 
0.7%
9.38 2
 
0.7%
5.66 2
 
0.7%
8.7 2
 
0.7%
Other values (221) 222
79.0%
(Missing) 38
 
13.5%
ValueCountFrequency (%)
2.55 1
0.4%
3.44 1
0.4%
3.98 1
0.4%
4.13 1
0.4%
4.22 1
0.4%
ValueCountFrequency (%)
366.74 1
0.4%
314.22 1
0.4%
223.31 1
0.4%
114.34 1
0.4%
91.93 1
0.4%

GT_A01
Real number (ℝ)

Missing 

nan

Distinct205
Distinct (%)98.6%
Missing73
Missing (%)26.0%
Infinite0
Infinite (%)0.0%
Mean84.43206731
Minimum24.39
Maximum589.03
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2025-03-05T09:47:48.637230image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum24.39
5-th percentile38.917
Q152.785
median65.025
Q389.1375
95-th percentile173.9135
Maximum589.03
Range564.64
Interquartile range (IQR)36.3525

Descriptive statistics

Standard deviation73.49025358
Coefficient of variation (CV)0.8704068954
Kurtosis23.04641311
Mean84.43206731
Median Absolute Deviation (MAD)17.655
Skewness4.399405969
Sum17561.87
Variance5400.817371
MonotonicityNot monotonic
2025-03-05T09:47:48.971570image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
46.87 2
 
0.7%
55.72 2
 
0.7%
54.02 2
 
0.7%
62.3 1
 
0.4%
287.7 1
 
0.4%
65.19 1
 
0.4%
61.73 1
 
0.4%
43.52 1
 
0.4%
47.57 1
 
0.4%
47.4 1
 
0.4%
Other values (195) 195
69.4%
(Missing) 73
 
26.0%
ValueCountFrequency (%)
24.39 1
0.4%
32.39 1
0.4%
32.57 1
0.4%
33.59 1
0.4%
33.62 1
0.4%
ValueCountFrequency (%)
589.03 1
0.4%
573.82 1
0.4%
383.52 1
0.4%
377.21 1
0.4%
366.66 1
0.4%

GT_R
Real number (ℝ)

Missing 

nan

Distinct199
Distinct (%)98.0%
Missing78
Missing (%)27.8%
Infinite0
Infinite (%)0.0%
Mean32.85236453
Minimum5.83
Maximum3058.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2025-03-05T09:47:49.307373image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum5.83
5-th percentile7.255
Q19.8
median13.39
Q318.6
95-th percentile45.549
Maximum3058.2
Range3052.37
Interquartile range (IQR)8.8

Descriptive statistics

Standard deviation213.9814178
Coefficient of variation (CV)6.513425161
Kurtosis200.7278386
Mean32.85236453
Median Absolute Deviation (MAD)4.23
Skewness14.13015194
Sum6669.03
Variance45788.04714
MonotonicityNot monotonic
2025-03-05T09:47:49.639973image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10.67 2
 
0.7%
8.49 2
 
0.7%
9.76 2
 
0.7%
14.79 2
 
0.7%
13.84 1
 
0.4%
7.92 1
 
0.4%
13.66 1
 
0.4%
7.3 1
 
0.4%
7.11 1
 
0.4%
33.33 1
 
0.4%
Other values (189) 189
67.3%
(Missing) 78
27.8%
ValueCountFrequency (%)
5.83 1
0.4%
6.29 1
0.4%
6.44 1
0.4%
6.68 1
0.4%
6.71 1
0.4%
ValueCountFrequency (%)
3058.2 1
0.4%
113.92 1
0.4%
111.51 1
0.4%
102.18 1
0.4%
83.79 1
0.4%

GT_B
Real number (ℝ)

Missing 

nan

Distinct186
Distinct (%)99.5%
Missing94
Missing (%)33.5%
Infinite0
Infinite (%)0.0%
Mean280.4769519
Minimum9.32
Maximum9494.46
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2025-03-05T09:47:49.976093image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum9.32
5-th percentile74.148
Q199.815
median128.13
Q3183.095
95-th percentile471.677
Maximum9494.46
Range9485.14
Interquartile range (IQR)83.28

Descriptive statistics

Standard deviation973.6811529
Coefficient of variation (CV)3.471519304
Kurtosis82.07328239
Mean280.4769519
Median Absolute Deviation (MAD)35.05
Skewness8.948798207
Sum52449.19
Variance948054.9875
MonotonicityNot monotonic
2025-03-05T09:47:50.302070image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
116.12 2
 
0.7%
88.23 1
 
0.4%
86.01 1
 
0.4%
89.19 1
 
0.4%
9277.78 1
 
0.4%
92.46 1
 
0.4%
110.84 1
 
0.4%
520.09 1
 
0.4%
135.36 1
 
0.4%
178.02 1
 
0.4%
Other values (176) 176
62.6%
(Missing) 94
33.5%
ValueCountFrequency (%)
9.32 1
0.4%
19.94 1
0.4%
39.51 1
0.4%
43.26 1
0.4%
64.62 1
0.4%
ValueCountFrequency (%)
9494.46 1
0.4%
9277.78 1
0.4%
2250.87 1
0.4%
1554.08 1
0.4%
1013.55 1
0.4%

GT_G
Real number (ℝ)

Missing 

nan

Distinct176
Distinct (%)98.9%
Missing103
Missing (%)36.7%
Infinite0
Infinite (%)0.0%
Mean202.7888202
Minimum3.22
Maximum9655.33
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2025-03-05T09:47:50.629719image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum3.22
5-th percentile52.273
Q173.03
median98.29
Q3134.7625
95-th percentile367.075
Maximum9655.33
Range9652.11
Interquartile range (IQR)61.7325

Descriptive statistics

Standard deviation746.8897751
Coefficient of variation (CV)3.683091476
Kurtosis147.1140403
Mean202.7888202
Median Absolute Deviation (MAD)28.34
Skewness11.70496623
Sum36096.41
Variance557844.3362
MonotonicityNot monotonic
2025-03-05T09:47:50.973675image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
80.43 2
 
0.7%
69.81 2
 
0.7%
80.3 1
 
0.4%
61.42 1
 
0.4%
3.22 1
 
0.4%
68.44 1
 
0.4%
69.25 1
 
0.4%
87.58 1
 
0.4%
70.3 1
 
0.4%
100.06 1
 
0.4%
Other values (166) 166
59.1%
(Missing) 103
36.7%
ValueCountFrequency (%)
3.22 1
0.4%
7.38 1
0.4%
12.21 1
0.4%
12.53 1
0.4%
14.19 1
0.4%
ValueCountFrequency (%)
9655.33 1
0.4%
1669.15 1
0.4%
1629.0 1
0.4%
1377.57 1
0.4%
1138.75 1
0.4%

GT_F
Real number (ℝ)

Missing 

nan

Distinct157
Distinct (%)99.4%
Missing123
Missing (%)43.8%
Infinite0
Infinite (%)0.0%
Mean664.1968354
Minimum3.78
Maximum10389.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2025-03-05T09:47:51.312978image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum3.78
5-th percentile129.2755
Q1269.1675
median379.525
Q3551.74
95-th percentile1605.0155
Maximum10389.4
Range10385.62
Interquartile range (IQR)282.5725

Descriptive statistics

Standard deviation1160.771617
Coefficient of variation (CV)1.747631959
Kurtosis37.77114849
Mean664.1968354
Median Absolute Deviation (MAD)139.09
Skewness5.649963467
Sum104943.1
Variance1347390.746
MonotonicityNot monotonic
2025-03-05T09:47:51.661953image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
251.47 2
 
0.7%
101.88 1
 
0.4%
547.81 1
 
0.4%
271.77 1
 
0.4%
186.73 1
 
0.4%
348.21 1
 
0.4%
506.92 1
 
0.4%
1038.65 1
 
0.4%
1536.9 1
 
0.4%
183.34 1
 
0.4%
Other values (147) 147
52.3%
(Missing) 123
43.8%
ValueCountFrequency (%)
3.78 1
0.4%
6.3 1
0.4%
10.6 1
0.4%
13.62 1
0.4%
17.25 1
0.4%
ValueCountFrequency (%)
10389.4 1
0.4%
6118.23 1
0.4%
5927.51 1
0.4%
5241.17 1
0.4%
4166.56 1
0.4%

GT_T
Real number (ℝ)

Missing 

nan

Distinct157
Distinct (%)99.4%
Missing123
Missing (%)43.8%
Infinite0
Infinite (%)0.0%
Mean48.49126582
Minimum3.34
Maximum1211.68
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2025-03-05T09:47:51.993497image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum3.34
5-th percentile18.8365
Q127.6825
median34.505
Q342.8075
95-th percentile89.6695
Maximum1211.68
Range1208.34
Interquartile range (IQR)15.125

Descriptive statistics

Standard deviation99.16011261
Coefficient of variation (CV)2.044906664
Kurtosis122.6297056
Mean48.49126582
Median Absolute Deviation (MAD)7.86
Skewness10.5879654
Sum7661.62
Variance9832.727932
MonotonicityNot monotonic
2025-03-05T09:47:52.342828image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
32.77 2
 
0.7%
3.34 1
 
0.4%
38.81 1
 
0.4%
36.4 1
 
0.4%
47.93 1
 
0.4%
41.2 1
 
0.4%
28.14 1
 
0.4%
41.05 1
 
0.4%
31.05 1
 
0.4%
36.03 1
 
0.4%
Other values (147) 147
52.3%
(Missing) 123
43.8%
ValueCountFrequency (%)
3.34 1
0.4%
12.72 1
0.4%
15.98 1
0.4%
16.56 1
0.4%
16.72 1
0.4%
ValueCountFrequency (%)
1211.68 1
0.4%
264.9 1
0.4%
264.41 1
0.4%
235.56 1
0.4%
120.02 1
0.4%

GT_C
Real number (ℝ)

Missing 

nan

Distinct153
Distinct (%)98.7%
Missing126
Missing (%)44.8%
Infinite0
Infinite (%)0.0%
Mean136.0267097
Minimum12.46
Maximum648.98
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2025-03-05T09:47:52.677722image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum12.46
5-th percentile69.918
Q187.72
median119.02
Q3148.045
95-th percentile287.919
Maximum648.98
Range636.52
Interquartile range (IQR)60.325

Descriptive statistics

Standard deviation80.19497304
Coefficient of variation (CV)0.5895531343
Kurtosis12.18824181
Mean136.0267097
Median Absolute Deviation (MAD)31.28
Skewness2.835042401
Sum21084.14
Variance6431.2337
MonotonicityNot monotonic
2025-03-05T09:47:53.012217image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
79.71 2
 
0.7%
109.87 2
 
0.7%
123.65 1
 
0.4%
12.46 1
 
0.4%
138.8 1
 
0.4%
49.57 1
 
0.4%
71.13 1
 
0.4%
91.01 1
 
0.4%
30.39 1
 
0.4%
109.58 1
 
0.4%
Other values (143) 143
50.9%
(Missing) 126
44.8%
ValueCountFrequency (%)
12.46 1
0.4%
30.39 1
0.4%
31.58 1
0.4%
45.05 1
0.4%
49.57 1
0.4%
ValueCountFrequency (%)
648.98 1
0.4%
415.15 1
0.4%
410.68 1
0.4%
389.03 1
0.4%
349.19 1
0.4%

GT_D
Real number (ℝ)

Missing 

nan

Distinct151
Distinct (%)98.7%
Missing128
Missing (%)45.6%
Infinite0
Infinite (%)0.0%
Mean70.33633987
Minimum6.32
Maximum844.24
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2025-03-05T09:47:53.355064image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum6.32
5-th percentile9.278
Q113.18
median55.35
Q393.67
95-th percentile170.678
Maximum844.24
Range837.92
Interquartile range (IQR)80.49

Descriptive statistics

Standard deviation95.1109424
Coefficient of variation (CV)1.352230477
Kurtosis32.66621174
Mean70.33633987
Median Absolute Deviation (MAD)41.02
Skewness4.812707533
Sum10761.46
Variance9046.091364
MonotonicityNot monotonic
2025-03-05T09:47:53.673609image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9.52 2
 
0.7%
9.38 2
 
0.7%
55.26 1
 
0.4%
93.67 1
 
0.4%
51.83 1
 
0.4%
79.96 1
 
0.4%
67.32 1
 
0.4%
15.66 1
 
0.4%
92.59 1
 
0.4%
112.85 1
 
0.4%
Other values (141) 141
50.2%
(Missing) 128
45.6%
ValueCountFrequency (%)
6.32 1
0.4%
7.32 1
0.4%
7.83 1
0.4%
7.91 1
0.4%
8.03 1
0.4%
ValueCountFrequency (%)
844.24 1
0.4%
556.29 1
0.4%
358.56 1
0.4%
274.98 1
0.4%
264.6 1
0.4%

GT_M
Real number (ℝ)

Missing 

nan

Distinct144
Distinct (%)99.3%
Missing136
Missing (%)48.4%
Infinite0
Infinite (%)0.0%
Mean274.7444828
Minimum3.35
Maximum1821.42
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2025-03-05T09:47:53.983850image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum3.35
5-th percentile105.508
Q1164.73
median213.56
Q3298.72
95-th percentile746.52
Maximum1821.42
Range1818.07
Interquartile range (IQR)133.99

Descriptive statistics

Standard deviation231.2036846
Coefficient of variation (CV)0.8415225751
Kurtosis17.72711196
Mean274.7444828
Median Absolute Deviation (MAD)60
Skewness3.645147711
Sum39837.95
Variance53455.14379
MonotonicityNot monotonic
2025-03-05T09:47:54.319684image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
164.24 2
 
0.7%
292.84 1
 
0.4%
154.67 1
 
0.4%
6.23 1
 
0.4%
189.57 1
 
0.4%
339.65 1
 
0.4%
201.48 1
 
0.4%
145.92 1
 
0.4%
175.69 1
 
0.4%
326.58 1
 
0.4%
Other values (134) 134
47.7%
(Missing) 136
48.4%
ValueCountFrequency (%)
3.35 1
0.4%
6.23 1
0.4%
7.27 1
0.4%
15.1 1
0.4%
64.1 1
0.4%
ValueCountFrequency (%)
1821.42 1
0.4%
1390.75 1
0.4%
1031.18 1
0.4%
895.02 1
0.4%
861.23 1
0.4%

GT_I
Real number (ℝ)

Missing 

nan

Distinct140
Distinct (%)100.0%
Missing141
Missing (%)50.2%
Infinite0
Infinite (%)0.0%
Mean126.6873571
Minimum7.91
Maximum1062.05
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2025-03-05T09:47:54.670485image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum7.91
5-th percentile16.082
Q148.6975
median80.845
Q3134.3
95-th percentile389.9375
Maximum1062.05
Range1054.14
Interquartile range (IQR)85.6025

Descriptive statistics

Standard deviation165.7825678
Coefficient of variation (CV)1.308595992
Kurtosis15.87139766
Mean126.6873571
Median Absolute Deviation (MAD)38.87
Skewness3.739978289
Sum17736.23
Variance27483.85979
MonotonicityNot monotonic
2025-03-05T09:47:55.238931image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
116.21 1
 
0.4%
61.54 1
 
0.4%
12.13 1
 
0.4%
1062.05 1
 
0.4%
218.24 1
 
0.4%
67.05 1
 
0.4%
174.46 1
 
0.4%
90.64 1
 
0.4%
56.99 1
 
0.4%
185.48 1
 
0.4%
Other values (130) 130
46.3%
(Missing) 141
50.2%
ValueCountFrequency (%)
7.91 1
0.4%
11.58 1
0.4%
12.13 1
0.4%
13.54 1
0.4%
14.26 1
0.4%
ValueCountFrequency (%)
1062.05 1
0.4%
974.4 1
0.4%
858.54 1
0.4%
851.27 1
0.4%
527.35 1
0.4%